code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
value |
|---|---|---|---|---|---|
import json
import logging
import os
import numpy as np
import torch
from lavis.common.dist_utils import is_main_process
from lavis.common.registry import registry
from lavis.tasks.base_task import BaseTask
@registry.register_task("retrieval")
class RetrievalTask(BaseTask):
def __init__(self, cfg):
super... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/tasks/retrieval.py | 0.497803 | 0.212089 | retrieval.py | pypi |
import json
import os
import logging
import numpy as np
import torch
from lavis.common.dist_utils import main_process
from lavis.common.registry import registry
from lavis.tasks.base_task import BaseTask
@registry.register_task("multimodal_classification")
class MultimodalClassificationTask(BaseTask):
def __init... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/tasks/multimodal_classification.py | 0.607663 | 0.160759 | multimodal_classification.py | pypi |
import re
from lavis.common.registry import registry
from lavis.processors.base_processor import BaseProcessor
from lavis.processors.randaugment import RandomAugment
from omegaconf import OmegaConf
from torchvision import transforms
from torchvision.transforms.functional import InterpolationMode
import os
from itertoo... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/processors/gpt_processors.py | 0.545407 | 0.282066 | gpt_processors.py | pypi |
import torch
from lavis.common.registry import registry
from lavis.datasets.data_utils import load_video
from lavis.processors import transforms_video
from lavis.processors.base_processor import BaseProcessor
from lavis.processors.randaugment import VideoRandomAugment
from lavis.processors import functional_video as F
... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/processors/alpro_processors.py | 0.875415 | 0.200871 | alpro_processors.py | pypi |
import numbers
import random
from torchvision.transforms import (
RandomCrop,
RandomResizedCrop,
)
import lavis.processors.functional_video as F
__all__ = [
"RandomCropVideo",
"RandomResizedCropVideo",
"CenterCropVideo",
"NormalizeVideo",
"ToTensorVideo",
"RandomHorizontalFlipVideo",... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/processors/transforms_video.py | 0.87289 | 0.220217 | transforms_video.py | pypi |
import re
from lavis.common.registry import registry
from lavis.processors.base_processor import BaseProcessor
from lavis.processors.randaugment import RandomAugment
from omegaconf import OmegaConf
from torchvision import transforms
from torchvision.transforms.functional import InterpolationMode
class BlipImageBaseP... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/processors/blip_processors.py | 0.798933 | 0.177811 | blip_processors.py | pypi |
import warnings
import torch
def _is_tensor_video_clip(clip):
if not torch.is_tensor(clip):
raise TypeError("clip should be Tensor. Got %s" % type(clip))
if not clip.ndimension() == 4:
raise ValueError("clip should be 4D. Got %dD" % clip.dim())
return True
def crop(clip, i, j, h, w):
... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/processors/functional_video.py | 0.900612 | 0.551272 | functional_video.py | pypi |
import cv2
import numpy as np
import torch
## aug functions
def identity_func(img):
return img
def autocontrast_func(img, cutoff=0):
"""
same output as PIL.ImageOps.autocontrast
"""
n_bins = 256
def tune_channel(ch):
n = ch.size
cut = cutoff * n // 100
if cut == 0:
... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/processors/randaugment.py | 0.714329 | 0.696087 | randaugment.py | pypi |
from lavis.common.registry import registry
from lavis.processors.blip_processors import BlipImageBaseProcessor
from omegaconf import OmegaConf
from torchvision import transforms
from torchvision.transforms.functional import InterpolationMode
def _convert_to_rgb(image):
return image.convert("RGB")
@registry.regi... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/processors/clip_processors.py | 0.866726 | 0.242329 | clip_processors.py | pypi |
import os
from lavis.common.registry import registry
from lavis.datasets.builders.base_dataset_builder import BaseDatasetBuilder
from lavis.datasets.datasets.imagefolder_dataset import ImageFolderDataset
@registry.register_builder("imagenet")
class ImageNetBuilder(BaseDatasetBuilder):
train_dataset_cls = ImageFo... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/datasets/builders/imagefolder_builder.py | 0.445288 | 0.425486 | imagefolder_builder.py | pypi |
from lavis.datasets.builders.base_dataset_builder import load_dataset_config
from lavis.datasets.builders.caption_builder import (
COCOCapBuilder,
MSRVTTCapBuilder,
MSVDCapBuilder,
VATEXCapBuilder,
)
from lavis.datasets.builders.image_text_pair_builder import (
ConceptualCaption12MBuilder,
Conce... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/datasets/builders/__init__.py | 0.514888 | 0.24447 | __init__.py | pypi |
import os
from lavis.common.registry import registry
from lavis.datasets.builders.base_dataset_builder import BaseDatasetBuilder
from lavis.datasets.datasets.image_text_pair_datasets import ImageTextPairDataset
from lavis.datasets.datasets.laion_dataset import LaionDataset
@registry.register_builder("conceptual_capt... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/datasets/builders/image_text_pair_builder.py | 0.40592 | 0.279202 | image_text_pair_builder.py | pypi |
import os
import json
from PIL import Image
from lavis.datasets.datasets.vqa_datasets import VQADataset, VQAEvalDataset
from collections import OrderedDict
class __DisplMixin:
def displ_item(self, index):
sample, ann = self.__getitem__(index), self.annotation[index]
return OrderedDict(
... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/datasets/datasets/coco_vqa_datasets.py | 0.58818 | 0.267543 | coco_vqa_datasets.py | pypi |
from collections import OrderedDict
import json
import os
import torch
from PIL import Image
from lavis.datasets.datasets.vqa_datasets import VQADataset, VQAEvalDataset
class __DisplMixin:
def displ_item(self, index):
sample, ann = self.__getitem__(index), self.annotation[index]
return OrderedDi... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/datasets/datasets/aok_vqa_datasets.py | 0.630116 | 0.248968 | aok_vqa_datasets.py | pypi |
import os
import random
from collections import OrderedDict
from lavis.datasets.datasets.multimodal_classification_datasets import (
MultimodalClassificationDataset,
)
from PIL import Image
class __DisplMixin:
def displ_item(self, index):
sample, ann = self.__getitem__(index), self.annotation[index]... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/datasets/datasets/nlvr_datasets.py | 0.554712 | 0.335106 | nlvr_datasets.py | pypi |
import os
import json
from PIL import Image
from lavis.datasets.datasets.vqa_datasets import VQADataset, VQAEvalDataset
from collections import OrderedDict
class __DisplMixin:
def displ_item(self, index):
sample, ann = self.__getitem__(index), self.annotation[index]
return OrderedDict(
... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/datasets/datasets/gqa_datasets.py | 0.563738 | 0.258841 | gqa_datasets.py | pypi |
import torch
from lavis.datasets.datasets.dialogue_datasets import (
DialogueDataset,
DialogueEvalDataset,
)
class AVSDDialDataset(DialogueDataset):
def __init__(self, vis_processor, text_processor, vis_root, ann_paths):
"""
vis_root (string): Root directory of images (e.g. coco/images/)
... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/datasets/datasets/avsd_dialogue_datasets.py | 0.775945 | 0.381796 | avsd_dialogue_datasets.py | pypi |
import os
from collections import OrderedDict
from lavis.datasets.datasets.base_dataset import BaseDataset
from PIL import Image
class __DisplMixin:
def displ_item(self, index):
sample, ann = self.__getitem__(index), self.annotation[index]
return OrderedDict(
{
"file"... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/datasets/datasets/caption_datasets.py | 0.478773 | 0.235372 | caption_datasets.py | pypi |
import datetime
import logging
import time
from collections import defaultdict, deque
import torch
import torch.distributed as dist
from lavis.common import dist_utils
class SmoothedValue(object):
"""Track a series of values and provide access to smoothed values over a
window or the global series average.
... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/common/logger.py | 0.807347 | 0.324155 | logger.py | pypi |
import io
import json
import logging
import os
import pickle
import re
import shutil
import urllib
import urllib.error
import urllib.request
from typing import Optional
from urllib.parse import urlparse
import numpy as np
import pandas as pd
import yaml
from iopath.common.download import download
from iopath.common.fi... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/common/utils.py | 0.651355 | 0.213521 | utils.py | pypi |
import math
from lavis.common.registry import registry
@registry.register_lr_scheduler("linear_warmup_step_lr")
class LinearWarmupStepLRScheduler:
def __init__(
self,
optimizer,
max_epoch,
min_lr,
init_lr,
decay_rate=1,
warmup_start_lr=-1,
warmup_st... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/common/optims.py | 0.73431 | 0.161254 | optims.py | pypi |
__author__ = "aagrawal"
# This code is based on the code written by Tsung-Yi Lin for MSCOCO Python API available at the following link:
# (https://github.com/tylin/coco-caption/blob/master/pycocoevalcap/eval.py).
import sys
import re
class VQAEval:
def __init__(self, vqa=None, vqaRes=None, n=2):
self.n ... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/common/vqa_tools/vqa_eval.py | 0.600774 | 0.275945 | vqa_eval.py | pypi |
__author__ = "aagrawal"
__version__ = "0.9"
# Interface for accessing the VQA dataset.
# This code is based on the code written by Tsung-Yi Lin for MSCOCO Python API available at the following link:
# (https://github.com/pdollar/coco/blob/master/PythonAPI/pycocotools/coco.py).
# The following functions are defined:
... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/lavis/common/vqa_tools/vqa.py | 0.789923 | 0.484136 | vqa.py | pypi |
import numpy as np
import streamlit as st
import torch
from lavis.models.blip_models.blip_image_text_matching import compute_gradcam
from lavis.processors import load_processor
from PIL import Image
from app import device, load_demo_image
from app.utils import getAttMap, init_bert_tokenizer, load_blip_itm_model
def ... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/app/image_text_match.py | 0.522446 | 0.239772 | image_text_match.py | pypi |
import math
import numpy as np
import streamlit as st
from lavis.models.blip_models.blip_image_text_matching import compute_gradcam
from lavis.processors import load_processor
from PIL import Image
from app import device, load_demo_image
from app.utils import getAttMap, init_bert_tokenizer, load_blip_itm_model
def ... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/app/text_localization.py | 0.434701 | 0.243361 | text_localization.py | pypi |
import os
import numpy as np
import streamlit as st
import torch
import torch.nn.functional as F
from app import cache_root, device
from app.utils import (
getAttMap,
init_bert_tokenizer,
load_blip_itm_model,
read_img,
resize_img,
)
from lavis.models import load_model
from lavis.processors import l... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/app/multimodal_search.py | 0.528047 | 0.291447 | multimodal_search.py | pypi |
import plotly.graph_objects as go
import requests
import streamlit as st
import torch
from lavis.models import load_model
from lavis.processors import load_processor
from lavis.processors.blip_processors import BlipCaptionProcessor
from PIL import Image
from app import device, load_demo_image
from app.utils import loa... | /salesforce-lavis-1.0.2.tar.gz/salesforce-lavis-1.0.2/app/classification.py | 0.410874 | 0.21626 | classification.py | pypi |
<div align="center">
<img alt="Logo" src="https://github.com/salesforce/Merlion/raw/main/merlion_logo.svg" width="80%"/>
</div>
<div align="center">
<a href="https://github.com/salesforce/Merlion/actions">
<img alt="Tests" src="https://github.com/salesforce/Merlion/actions/workflows/tests.yml/badge.svg?branch=main... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/README.md | 0.934895 | 0.94366 | README.md | pypi |
# Salesforce Open Source Community Code of Conduct
## About the Code of Conduct
Equality is a core value at Salesforce. We believe a diverse and inclusive
community fosters innovation and creativity, and are committed to building a
culture where everyone feels included.
Salesforce open-source projects are committed ... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/CODE_OF_CONDUCT.md | 0.642208 | 0.832951 | CODE_OF_CONDUCT.md | pypi |
import argparse
import json
import re
from pyspark.sql import SparkSession
from pyspark.sql.types import DateType, FloatType, StructField, StructType
from merlion.spark.dataset import read_dataset, write_dataset, TSID_COL_NAME
from merlion.spark.pandas_udf import anomaly
def parse_args():
parser = argparse.Argum... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/spark_apps/anomaly.py | 0.70028 | 0.536009 | anomaly.py | pypi |
import argparse
import json
import re
from warnings import warn
from pyspark.sql import SparkSession
from pyspark.sql.types import DateType, FloatType, StructField, StructType
from merlion.spark.dataset import create_hier_dataset, read_dataset, write_dataset, TSID_COL_NAME
from merlion.spark.pandas_udf import forecast... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/spark_apps/forecast.py | 0.702326 | 0.426411 | forecast.py | pypi |
import logging
from typing import Dict
from copy import copy
from matplotlib.colors import to_rgb
from matplotlib.dates import AutoDateLocator, AutoDateFormatter
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import plotly
import plotly.graph_objects as go
from plotly.subplots import make_subpl... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/plot.py | 0.924381 | 0.660309 | plot.py | pypi |
from collections import OrderedDict
import logging
from typing import Sequence
import numpy as np
import scipy.signal
from scipy.stats import norm
from merlion.transform.base import TransformBase, InvertibleTransformBase
from merlion.utils import UnivariateTimeSeries, TimeSeries
logger = logging.getLogger(__name__)
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/transform/moving_average.py | 0.964271 | 0.756211 | moving_average.py | pypi |
from abc import abstractmethod
from typing import Tuple
import numpy as np
import pandas as pd
from merlion.transform.base import Identity, TransformBase
from merlion.transform.bound import LowerUpperClip
from merlion.utils.time_series import UnivariateTimeSeries, TimeSeries
class Anomalize(TransformBase):
"""
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/transform/anomalize.py | 0.913353 | 0.575379 | anomalize.py | pypi |
from collections import OrderedDict
import logging
from typing import Iterable, Mapping
import numpy as np
import pandas as pd
import scipy.special
import scipy.stats
from sklearn.preprocessing import StandardScaler
from merlion.transform.base import InvertibleTransformBase, TransformBase
from merlion.utils import Un... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/transform/normalize.py | 0.942876 | 0.469216 | normalize.py | pypi |
from abc import abstractmethod
from copy import deepcopy
from enum import Enum
import inspect
import logging
from merlion.utils import TimeSeries
from merlion.utils.misc import AutodocABCMeta
logger = logging.getLogger(__name__)
class TransformBase(metaclass=AutodocABCMeta):
"""
Abstract class for a callabl... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/transform/base.py | 0.919353 | 0.481637 | base.py | pypi |
from collections import OrderedDict
import logging
from typing import Union
import numpy as np
from merlion.transform.base import TransformBase, InvertibleTransformBase
from merlion.utils import UnivariateTimeSeries, TimeSeries
from merlion.utils.resample import (
infer_granularity,
granularity_str_to_seconds,... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/transform/resample.py | 0.954457 | 0.566049 | resample.py | pypi |
from collections import OrderedDict
import logging
from typing import List
from merlion.transform.base import TransformBase, InvertibleTransformBase, Identity
from merlion.transform.factory import TransformFactory
from merlion.utils import TimeSeries
logger = logging.getLogger(__name__)
class TransformSequence(Inve... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/transform/sequence.py | 0.946535 | 0.641647 | sequence.py | pypi |
from typing import Dict, List, Tuple
import numpy as np
import pandas as pd
try:
import pyspark.sql
import pyspark.sql.functions as F
from pyspark.sql.types import DateType, StringType, StructType
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip in... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/spark/dataset.py | 0.908106 | 0.713244 | dataset.py | pypi |
import logging
import traceback
from typing import List, Union
import numpy as np
import pandas as pd
from merlion.models.factory import instantiate_or_copy_model, ModelFactory
from merlion.models.anomaly.base import DetectorBase
from merlion.models.forecast.base import ForecasterBase
from merlion.spark.dataset impor... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/spark/pandas_udf.py | 0.912275 | 0.507873 | pandas_udf.py | pypi |
import logging
from typing import List, Tuple
import numpy as np
from scipy.stats import norm
from scipy.interpolate import PchipInterpolator
from merlion.post_process.base import PostRuleBase
from merlion.utils import TimeSeries, UnivariateTimeSeries
logger = logging.getLogger(__name__)
class AnomScoreCalibrator(... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/post_process/calibrate.py | 0.920142 | 0.652158 | calibrate.py | pypi |
from bisect import bisect_left
from enum import Enum
from functools import partial
from typing import Tuple, Union
import numpy as np
import pandas as pd
from merlion.evaluate.base import EvaluatorBase, EvaluatorConfig
from merlion.utils import TimeSeries, UnivariateTimeSeries
from merlion.utils.misc import call_with... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/evaluate/anomaly.py | 0.925769 | 0.489564 | anomaly.py | pypi |
from enum import Enum
from functools import partial
from typing import List, Union, Tuple
import warnings
import numpy as np
import pandas as pd
from merlion.evaluate.base import EvaluatorBase, EvaluatorConfig
from merlion.models.forecast.base import ForecasterBase
from merlion.utils import TimeSeries, UnivariateTime... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/evaluate/forecast.py | 0.947125 | 0.678453 | forecast.py | pypi |
from abc import abstractmethod
from typing import Any, List, Tuple, Union
import numpy as np
import pandas as pd
from tqdm import tqdm
from merlion.models.base import ModelBase
from merlion.models.forecast.base import ForecasterBase
from merlion.utils.misc import AutodocABCMeta
from merlion.utils.resample import gran... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/evaluate/base.py | 0.956237 | 0.477859 | base.py | pypi |
"""Default models for anomaly detection & forecasting that balance speed and performance."""
import logging
from typing import Optional, Tuple
from merlion.models.factory import ModelFactory
from merlion.models.layers import LayeredDetector, LayeredForecaster, LayeredModelConfig
from merlion.models.anomaly.base import... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/defaults.py | 0.948917 | 0.45641 | defaults.py | pypi |
from abc import abstractmethod
import copy
from enum import Enum
import json
import logging
import os
from os.path import abspath, join
from typing import Any, Dict, Optional, Tuple, List
import dill
import pandas as pd
from merlion.transform.base import TransformBase, Identity
from merlion.transform.factory import T... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/base.py | 0.883833 | 0.286887 | base.py | pypi |
import io
import json
import copy
import logging
from typing import List, Optional, Tuple, Union
import numpy as np
import pandas as pd
from scipy.stats import norm
from abc import abstractmethod
from enum import Enum
try:
import torch
import torch.nn as nn
except ImportError as e:
err = (
"Try i... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/deep_base.py | 0.918786 | 0.383641 | deep_base.py | pypi |
import copy
import inspect
import logging
from typing import Dict, Tuple, Type, Union
import dill
from merlion.models.base import ModelBase
from merlion.utils import dynamic_import
logger = logging.getLogger(__name__)
import_alias = dict(
# Default models
DefaultDetector="merlion.models.defaults:DefaultDetec... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/factory.py | 0.843766 | 0.508117 | factory.py | pypi |
import logging
import numpy as np
import pandas as pd
from sklearn.ensemble import IsolationForest as skl_IsolationForest
from merlion.models.anomaly.base import DetectorConfig, DetectorBase
from merlion.transform.moving_average import DifferenceTransform
from merlion.transform.sequence import TransformSequence
from ... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/isolation_forest.py | 0.889126 | 0.384017 | isolation_forest.py | pypi |
import logging
import numpy as np
import pandas as pd
from merlion.models.anomaly.base import DetectorConfig, DetectorBase
from merlion.transform.resample import TemporalResample
from merlion.utils import TimeSeries, UnivariateTimeSeries
logger = logging.getLogger(__name__)
class SpectralResidualConfig(DetectorCon... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/spectral_residual.py | 0.903322 | 0.573021 | spectral_residual.py | pypi |
from abc import abstractmethod
import copy
import inspect
import logging
from typing import Any, Dict, List, Union
import pandas as pd
from scipy.stats import norm
from merlion.models.base import Config, ModelBase, MultipleTimeseriesModelMixin
from merlion.plot import Figure, MTSFigure
from merlion.post_process.calib... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/base.py | 0.930146 | 0.338309 | base.py | pypi |
import bisect
import copy
import logging
from os.path import abspath, dirname, join, pathsep
import numpy as np
import pandas as pd
from py4j.java_gateway import JavaGateway
from merlion.models.anomaly.base import DetectorConfig, DetectorBase
from merlion.transform.moving_average import DifferenceTransform
from merli... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/random_cut_forest.py | 0.786254 | 0.248728 | random_cut_forest.py | pypi |
try:
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install salesforce-merlion[deep-learning]` or "
"`pip install `salesforce-merlion[all]`"
)
raise ImportEr... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/autoencoder.py | 0.94252 | 0.531817 | autoencoder.py | pypi |
import copy
import random
from typing import List
try:
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install salesforce-merlion[deep-le... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/dagmm.py | 0.916573 | 0.49469 | dagmm.py | pypi |
from math import log
from typing import List
import numpy as np
import pandas as pd
from merlion.models.base import NormalizingConfig
from merlion.models.anomaly.base import DetectorBase, DetectorConfig
from merlion.transform.base import Identity
from merlion.transform.moving_average import LagTransform
from merlion.... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/zms.py | 0.925348 | 0.640847 | zms.py | pypi |
from typing import Sequence
import numpy as np
import pandas as pd
try:
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install salesforce-merlion[deep-learning]` or "
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/vae.py | 0.955651 | 0.442335 | vae.py | pypi |
from typing import Sequence
import numpy as np
import pandas as pd
try:
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install salesforce-merlion[deep-learning]` or "
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/lstm_ed.py | 0.960768 | 0.539832 | lstm_ed.py | pypi |
import copy
import logging
from typing import List, Optional, Tuple, Union
import numpy as np
import pandas as pd
from merlion.models.anomaly.base import DetectorBase
from merlion.models.forecast.base import ForecasterBase
from merlion.plot import Figure
from merlion.utils import TimeSeries
from merlion.utils.misc im... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/forecast_based/base.py | 0.905168 | 0.515437 | base.py | pypi |
import bisect
import copy
from enum import Enum
import logging
from typing import List, Tuple, Union
import warnings
import numpy as np
import pandas as pd
import scipy.sparse
from scipy.special import logsumexp
from scipy.stats import norm
from tqdm import tqdm
from merlion.models.anomaly.base import NoCalibrationDe... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/anomaly/change_point/bocpd.py | 0.926053 | 0.532182 | bocpd.py | pypi |
from abc import abstractmethod
from enum import Enum, auto
import logging
from typing import Any, Iterator, List, Optional, Tuple, Union
import numpy as np
from scipy.signal import argrelmax
from scipy.stats import norm
import statsmodels.api as sm
from statsmodels.tsa.exponential_smoothing.ets import ETSModel
from m... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/automl/seasonality.py | 0.941681 | 0.541106 | seasonality.py | pypi |
from collections import OrderedDict
import logging
from typing import Union, Iterator, Tuple
import numpy as np
import pandas as pd
from merlion.models.forecast.ets import ETS
from merlion.models.automl.base import InformationCriterion, ICConfig, ICAutoMLForecaster
from merlion.models.automl.search import GridSearch
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/automl/autoets.py | 0.929023 | 0.528168 | autoets.py | pypi |
from abc import abstractmethod
from copy import deepcopy
from enum import Enum, auto
import logging
from typing import Any, Iterator, Optional, Tuple, Union
import time
import pandas as pd
from merlion.models.layers import Config, ModelBase, LayeredModel, ForecasterBase
from merlion.utils import TimeSeries
from merli... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/automl/base.py | 0.932967 | 0.466299 | base.py | pypi |
from copy import copy, deepcopy
import logging
from typing import Any, Iterator, Optional, Tuple, Union
import numpy as np
from merlion.models.automl.seasonality import PeriodicityStrategy, SeasonalityConfig, SeasonalityLayer
from merlion.models.forecast.sarima import Sarima
from merlion.models.utils import autosarim... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/automl/autosarima.py | 0.877628 | 0.561034 | autosarima.py | pypi |
from collections import OrderedDict
import logging
from typing import Iterator, Tuple, Union
import numpy as np
import pandas as pd
from scipy.stats import norm
from merlion.models.automl.base import InformationCriterion, ICConfig, ICAutoMLForecaster
from merlion.models.automl.search import GridSearch
from merlion.mo... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/automl/autoprophet.py | 0.909116 | 0.388386 | autoprophet.py | pypi |
from typing import List
import numpy as np
import pandas as pd
from pandas.tseries import offsets
from pandas.tseries.frequencies import to_offset
class TimeFeature:
def __init__(self):
pass
def __call__(self, index: pd.DatetimeIndex) -> np.ndarray:
pass
def __repr__(self):
retu... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/utils/time_features.py | 0.937376 | 0.573858 | time_features.py | pypi |
import logging
import math
import numpy as np
from typing import Optional, Union
import pandas as pd
from merlion.utils.time_series import TimeSeries, to_pd_datetime
from merlion.models.utils.time_features import get_time_features
logger = logging.getLogger(__name__)
class RollingWindowDataset:
def __init__(
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/utils/rolling_window_dataset.py | 0.911613 | 0.579847 | rolling_window_dataset.py | pypi |
import os
import math
import random
import numpy as np
try:
import torch
import torch.nn as nn
import torch.fft as fft
import torch.nn.functional as F
from einops import rearrange, reduce, repeat
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/utils/nn_modules/enc_dec_etsformer.py | 0.915422 | 0.241512 | enc_dec_etsformer.py | pypi |
try:
import torch
import torch.nn as nn
import torch.fft as fft
import torch.nn.functional as F
from einops import rearrange, reduce, repeat
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install salesforce-merlion[deep-learning]` or "
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/utils/nn_modules/layers.py | 0.942705 | 0.400984 | layers.py | pypi |
try:
import torch
import torch.nn as nn
import torch.nn.functional as F
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install salesforce-merlion[deep-learning]` or "
"`pip install `salesforce-merlion[all]`"
)
raise ImportError(str(... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/utils/nn_modules/enc_dec_transformer.py | 0.949024 | 0.362292 | enc_dec_transformer.py | pypi |
try:
import torch
import torch.nn as nn
import torch.nn.functional as F
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install salesforce-merlion[deep-learning]` or "
"`pip install `salesforce-merlion[all]`"
)
raise ImportError(str(... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/utils/nn_modules/embed.py | 0.93511 | 0.432663 | embed.py | pypi |
import os
import math
import numpy as np
try:
import torch
import torch.nn as nn
import torch.fft as fft
import torch.nn.functional as F
from einops import rearrange, reduce, repeat
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install sa... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/utils/nn_modules/blocks.py | 0.940312 | 0.475788 | blocks.py | pypi |
try:
import torch
import torch.nn as nn
import torch.nn.functional as F
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install salesforce-merlion[deep-learning]` or "
"`pip install `salesforce-merlion[all]`"
)
raise ImportError(str(... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/utils/nn_modules/enc_dec_autoformer.py | 0.94453 | 0.461927 | enc_dec_autoformer.py | pypi |
import logging
import warnings
from typing import List, Tuple
import numpy as np
import pandas as pd
import statsmodels.api as sm
from merlion.models.automl.seasonality import SeasonalityModel
from merlion.models.forecast.base import ForecasterExogBase, ForecasterExogConfig
from merlion.transform.resample import Temp... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/sarima.py | 0.890559 | 0.476884 | sarima.py | pypi |
import logging
from math import floor
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
import pandas as pd
from merlion.utils.time_series import TimeSeries, UnivariateTimeSeries, assert_equal_timedeltas
from merlion.utils.istat import ExponentialMovingAverage, RecencyWeightedVariance
from merl... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/smoother.py | 0.949693 | 0.629689 | smoother.py | pypi |
import copy
import logging
import os
from typing import Iterable, List, Tuple, Union
import warnings
import numpy as np
import pandas as pd
import prophet
import prophet.serialize
from merlion.models.automl.seasonality import SeasonalityModel
from merlion.models.forecast.base import ForecasterExogBase, ForecasterExog... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/prophet.py | 0.840848 | 0.367526 | prophet.py | pypi |
import logging
from lightgbm import LGBMRegressor
from sklearn.ensemble import RandomForestRegressor, ExtraTreesRegressor
from sklearn.multioutput import MultiOutputRegressor
from merlion.models.forecast.sklearn_base import SKLearnForecaster, SKLearnForecasterConfig
logger = logging.getLogger(__name__)
class _Tree... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/trees.py | 0.903631 | 0.357259 | trees.py | pypi |
import copy
import logging
import math
import numpy as np
import pandas as pd
from scipy.stats import norm
from typing import List, Optional, Tuple, Union
from abc import abstractmethod
try:
import torch
import torch.nn as nn
import torch.nn.functional as F
except ImportError as e:
err = (
"T... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/transformer.py | 0.91782 | 0.344058 | transformer.py | pypi |
import logging
from typing import List, Tuple
import numpy as np
import pandas as pd
from statsmodels.tsa.api import VAR as sm_VAR
from statsmodels.tsa.arima.model import ARIMA as sm_ARIMA
from merlion.models.forecast.base import ForecasterExogBase, ForecasterExogConfig
from merlion.transform.resample import Temporal... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/vector_ar.py | 0.874848 | 0.52342 | vector_ar.py | pypi |
import copy
import logging
import math
import numpy as np
import pandas as pd
from scipy.stats import norm
from typing import List, Optional, Tuple, Union
from abc import abstractmethod
try:
import torch
import torch.nn as nn
import torch.nn.functional as F
except ImportError as e:
err = (
"T... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/etsformer.py | 0.874118 | 0.376566 | etsformer.py | pypi |
from abc import abstractmethod
import copy
import logging
from typing import List, Optional, Tuple, Union
import numpy as np
import pandas as pd
from scipy.stats import norm
from merlion.models.base import Config, ModelBase
from merlion.plot import Figure
from merlion.transform.base import TransformBase
from merlion.... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/base.py | 0.936988 | 0.440469 | base.py | pypi |
import copy
import logging
import numpy as np
import pandas as pd
from scipy.stats import norm
from typing import List, Optional, Tuple, Union
try:
import torch
import torch.nn as nn
except ImportError as e:
err = (
"Try installing Merlion with optional dependencies using `pip install salesforce... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/deep_base.py | 0.924407 | 0.34956 | deep_base.py | pypi |
import copy
import logging
import math
import numpy as np
import pandas as pd
from scipy.stats import norm
from typing import List, Optional, Tuple, Union
from abc import abstractmethod
try:
import torch
import torch.nn as nn
import torch.nn.functional as F
except ImportError as e:
err = (
"T... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/autoformer.py | 0.912908 | 0.340115 | autoformer.py | pypi |
import copy
import logging
import math
import numpy as np
import pandas as pd
from scipy.stats import norm
from typing import List, Optional, Tuple, Union
from abc import abstractmethod
try:
import torch
import torch.nn as nn
import torch.nn.functional as F
except ImportError as e:
err = (
"T... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/forecast/informer.py | 0.910341 | 0.414958 | informer.py | pypi |
import logging
import traceback
from typing import List
import pandas as pd
from merlion.evaluate.anomaly import TSADMetric, TSADEvaluator, TSADEvaluatorConfig
from merlion.models.anomaly.base import DetectorBase, DetectorConfig
from merlion.models.ensemble.base import EnsembleConfig, EnsembleTrainConfig, EnsembleBas... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/ensemble/anomaly.py | 0.860574 | 0.372248 | anomaly.py | pypi |
"""Ensembles of forecasters."""
import logging
import traceback
from typing import List, Optional, Tuple, Union
import pandas as pd
from merlion.evaluate.forecast import ForecastEvaluator, ForecastEvaluatorConfig
from merlion.models.ensemble.base import EnsembleConfig, EnsembleTrainConfig, EnsembleBase
from merlion.m... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/ensemble/forecast.py | 0.789964 | 0.435962 | forecast.py | pypi |
import copy
import logging
from typing import Any, Dict, List, Tuple, Union
import numpy as np
import pandas as pd
from merlion.models.base import ModelBase, Config
from merlion.models.ensemble.combine import CombinerBase, CombinerFactory, Mean
from merlion.models.factory import ModelFactory
from merlion.utils import... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/ensemble/base.py | 0.865537 | 0.31068 | base.py | pypi |
from abc import abstractmethod
from collections import OrderedDict
import copy
import logging
from typing import List, Optional, Union
import numpy as np
from merlion.evaluate.anomaly import TSADMetric
from merlion.evaluate.forecast import ForecastMetric
from merlion.utils import UnivariateTimeSeries, TimeSeries
from... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/models/ensemble/combine.py | 0.907762 | 0.427158 | combine.py | pypi |
from enum import Enum
from functools import partial
import logging
import math
import re
from typing import Iterable, Sequence, Union
import numpy as np
import pandas as pd
from pandas.tseries.frequencies import to_offset as pd_to_offset
import scipy.stats
logger = logging.getLogger(__name__)
class AlignPolicy(Enum... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/utils/resample.py | 0.899646 | 0.313302 | resample.py | pypi |
from bisect import bisect_left, bisect_right
import itertools
import logging
from typing import Any, Callable, Dict, Iterable, Mapping, Sequence, Tuple, Union
import warnings
import numpy as np
import pandas as pd
from merlion.utils.misc import ValIterOrderedDict
from merlion.utils.resample import (
AggregationPo... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/utils/time_series.py | 0.914305 | 0.707417 | time_series.py | pypi |
from abc import abstractmethod
from typing import List
from math import sqrt
import numpy as np
class IStat:
"""
An abstract base class for computing various statistics incrementally,
with emphasis on recency-weighted variants.
"""
def __init__(self, value: float = None, n: int = 0):
"""... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/utils/istat.py | 0.95511 | 0.663798 | istat.py | pypi |
from collections import OrderedDict
from typing import List
import numpy as np
import pandas as pd
from merlion.utils.time_series import TimeSeries, to_pd_datetime
def minT_reconciliation(
forecasts: List[TimeSeries], errs: List[TimeSeries], sum_matrix: np.ndarray, n_leaves: int
) -> List[TimeSeries]:
"""
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/utils/hts.py | 0.910722 | 0.885532 | hts.py | pypi |
from collections import OrderedDict
import inspect
from typing import List, Union
import pandas as pd
from merlion.utils.misc import combine_signatures, parse_basic_docstring
from merlion.utils.time_series import TimeSeries
def df_to_time_series(
df: pd.DataFrame, time_col: str = None, timestamp_unit="s", data_... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/utils/data_io.py | 0.915587 | 0.615868 | data_io.py | pypi |
import numpy as np
import pandas as pd
from operator import add
from functools import reduce
from typing import Callable, List, Union
from merlion.utils.time_series import UnivariateTimeSeries, TimeSeries
class TimeSeriesGenerator:
"""
An abstract base class for generating synthetic time series data.
Ge... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/utils/ts_generator.py | 0.923065 | 0.718767 | ts_generator.py | pypi |
import sys
import logging
import importlib
from merlion.models.factory import ModelFactory
from merlion.evaluate.anomaly import TSADMetric
from merlion.utils.time_series import TimeSeries
from merlion.plot import MTSFigure, plot_anoms_plotly
from merlion.dashboard.models.utils import ModelMixin, DataMixin
from merlion... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/dashboard/models/anomaly.py | 0.687315 | 0.461017 | anomaly.py | pypi |
import logging
import sys
import pandas as pd
from merlion.models.factory import ModelFactory
from merlion.evaluate.forecast import ForecastEvaluator, ForecastMetric
from merlion.utils.time_series import TimeSeries
from merlion.dashboard.models.utils import ModelMixin, DataMixin
from merlion.dashboard.utils.log impor... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/dashboard/models/forecast.py | 0.493409 | 0.448849 | forecast.py | pypi |
from collections import OrderedDict
from enum import Enum
import inspect
import json
import os
import numpy as np
import pandas as pd
from merlion.models.factory import ModelFactory
class DataMixin:
def load_data(self, file_path, nrows=None):
if nrows is None:
self.logger.info("Loading the tim... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/dashboard/models/utils.py | 0.738198 | 0.293822 | utils.py | pypi |
import plotly
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from dash import dash_table, dcc
from merlion.dashboard.settings import *
def data_table(df, n=1000, page_size=10):
if df is not None:
df = df.head(n)
columns = [{"name": "Index", "id": "Index"}] + [{"name": ... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/dashboard/utils/plot.py | 0.563498 | 0.272491 | plot.py | pypi |
from dash import dcc
from dash import html, dash_table
from merlion.dashboard.pages.utils import create_modal, create_empty_figure
from merlion.dashboard.settings import *
def create_stats_table(data_stats=None):
if data_stats is None or len(data_stats) == 0:
data = [{"Stats": "", "Value": ""}]
else:
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/dashboard/pages/data.py | 0.540924 | 0.299662 | data.py | pypi |
import dash_bootstrap_components as dbc
from dash import dcc
from dash import html
from merlion.dashboard.pages.utils import create_modal, create_param_table, create_metric_table, create_empty_figure
def create_control_panel() -> html.Div:
return html.Div(
id="control-card",
children=[
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/dashboard/pages/anomaly.py | 0.495361 | 0.262186 | anomaly.py | pypi |
import dash_bootstrap_components as dbc
from dash import dcc
from dash import html
from merlion.dashboard.pages.utils import create_modal, create_param_table, create_metric_table, create_empty_figure
def create_control_panel() -> html.Div:
return html.Div(
id="control-card",
children=[
... | /salesforce-merlion-2.0.2.tar.gz/salesforce-merlion-2.0.2/merlion/dashboard/pages/forecast.py | 0.510496 | 0.230443 | forecast.py | pypi |
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