repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
pyro | pyro/contrib/randomvariable/random_variable.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
from typing import Union
from torch import Tensor
from pyro.distributions import TransformedDistribution
from pyro.distributions.transforms import (
AbsTransform,
AffineTransform,
ExpTransform,
PowerTransform,
Sig... | 176 | 5,424 |
pyro | pyro/contrib/forecast/util.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import numbers
from functools import singledispatch
import torch
from torch.distributions import transform_to, transforms
import pyro.distributions as dist
from pyro.infer.reparam import DiscreteCosineReparam, HaarReparam
from pyro.p... | 487 | 16,054 |
pyro | pyro/contrib/forecast/__init__.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
from .evaluate import backtest, eval_crps, eval_mae, eval_rmse
from .forecaster import Forecaster, ForecastingModel, HMCForecaster
__all__ = [
"Forecaster",
"ForecastingModel",
"HMCForecaster",
"backtest",
"eval_cr... | 16 | 360 |
pyro | pyro/contrib/forecast/forecaster.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import logging
from abc import ABCMeta, abstractmethod
from contextlib import ExitStack
import torch
import torch.nn as nn
import pyro
import pyro.distributions as dist
import pyro.poutine as poutine
from pyro.infer import MCMC, NUTS... | 547 | 23,353 |
pyro | pyro/contrib/forecast/evaluate.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import logging
import warnings
from timeit import default_timer
import torch
import pyro
from pyro.ops.stats import crps_empirical
from .forecaster import Forecaster
logger = logging.getLogger(__name__)
@torch.no_grad()
def eval_... | 251 | 8,823 |
pyro | pyro/contrib/timeseries/__init__.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
"""
The :mod:`pyro.contrib.timeseries` module provides a collection of Bayesian time series
models useful for forecasting applications.
"""
from pyro.contrib.timeseries.base import TimeSeriesModel
from pyro.contrib.timeseries.gp i... | 26 | 712 |
pyro | pyro/contrib/timeseries/lgssmgp.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
import torch.nn as nn
from torch.distributions import MultivariateNormal, constraints
import pyro.distributions as dist
from pyro.contrib.timeseries.base import TimeSeriesModel
from pyro.nn import PyroParam, pyro_meth... | 275 | 11,260 |
pyro | pyro/contrib/timeseries/lgssm.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
import torch.nn as nn
from torch.distributions import MultivariateNormal, constraints
import pyro.distributions as dist
from pyro.contrib.timeseries.base import TimeSeriesModel
from pyro.nn import PyroParam, pyro_meth... | 157 | 6,439 |
pyro | pyro/contrib/timeseries/gp.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import math
import torch
import torch.nn as nn
from torch.distributions import MultivariateNormal, constraints
import pyro.distributions as dist
from pyro.contrib.timeseries.base import TimeSeriesModel
from pyro.nn import PyroPar... | 569 | 23,486 |
pyro | pyro/contrib/timeseries/base.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from pyro.nn import PyroModule, pyro_method
class TimeSeriesModel(PyroModule):
"""
Base class for univariate and multivariate time series models.
"""
@pyro_method
def log_prob(self, targets):
"""
... | 50 | 2,211 |
pyro | pyro/contrib/gp/util.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from pyro.infer import TraceMeanField_ELBO
from pyro.infer.util import torch_backward, torch_item
def conditional(
Xnew,
X,
kernel,
f_loc,
f_scale_tril=None,
Lff=None,
full_cov=False,
... | 195 | 7,152 |
pyro | pyro/contrib/gp/__init__.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from pyro.contrib.gp import kernels, likelihoods, models, parameterized, util
from pyro.contrib.gp.parameterized import Parameterized
__all__ = [
"Parameterized",
"kernels",
"likelihoods",
"models",
"parameteri... | 15 | 340 |
pyro | pyro/contrib/gp/parameterized.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import warnings
from collections import OrderedDict
from functools import partial
from torch.distributions import biject_to, constraints
from torch.nn import Parameter
import pyro
import pyro.distributions as dist
from pyro.distr... | 213 | 8,052 |
pyro | pyro/contrib/gp/likelihoods/binary.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
import pyro
import pyro.distributions as dist
from pyro.contrib.gp.likelihoods.likelihood import Likelihood
class Binary(Likelihood):
"""
Implementation of Binary likelihood, which is used for binary classif... | 56 | 1,988 |
pyro | pyro/contrib/gp/likelihoods/likelihood.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from pyro.contrib.gp.parameterized import Parameterized
class Likelihood(Parameterized):
"""
Base class for likelihoods used in Gaussian Process.
Every inherited class should implement a forward pass which
takes ... | 29 | 875 |
pyro | pyro/contrib/gp/likelihoods/__init__.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from pyro.contrib.gp.likelihoods.binary import Binary
from pyro.contrib.gp.likelihoods.gaussian import Gaussian
from pyro.contrib.gp.likelihoods.likelihood import Likelihood
from pyro.contrib.gp.likelihoods.multi_class import Multi... | 30 | 847 |
pyro | pyro/contrib/gp/likelihoods/gaussian.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
import pyro
import pyro.distributions as dist
from pyro.contrib.gp.likelihoods.likelihood import Likelihood
from pyro.nn.module import PyroParam
class Gaussian(Likelihood)... | 49 | 1,677 |
pyro | pyro/contrib/gp/likelihoods/multi_class.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch.nn.functional as F
import pyro
import pyro.distributions as dist
from pyro.contrib.gp.likelihoods.likelihood import Likelihood
def _softmax(x):
return F.softmax(x, dim=-1)
class MultiClass(Likelihood):
"""... | 78 | 2,859 |
pyro | pyro/contrib/gp/likelihoods/poisson.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
import pyro
import pyro.distributions as dist
from pyro.contrib.gp.likelihoods.likelihood import Likelihood
class Poisson(Likelihood):
"""
Implementation of Poisson likelihood, which is used for count data.
... | 53 | 1,884 |
pyro | pyro/contrib/gp/kernels/isotropic.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
from pyro.contrib.gp.kernels.kernel import Kernel
from pyro.nn.module import PyroParam
def _torch_sqrt(x, eps=1e-12):
"""
A convenient function to avoid the NaN gr... | 185 | 5,740 |
pyro | pyro/contrib/gp/kernels/kernel.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import numbers
from pyro.contrib.gp.parameterized import Parameterized
class Kernel(Parameterized):
"""
Base class for kernels used in this Gaussian Process module.
Every inherited class should implement a :meth:`fo... | 260 | 8,446 |
pyro | pyro/contrib/gp/kernels/static.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
from pyro.contrib.gp.kernels.kernel import Kernel
from pyro.nn.module import PyroParam
class Constant(Kernel):
r"""
Implementation of Constant kernel:
:ma... | 56 | 1,536 |
pyro | pyro/contrib/gp/kernels/coregionalize.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
from torch.nn import Parameter
from pyro.contrib.gp.kernels.kernel import Kernel
from pyro.nn.module import PyroParam
class Coregionalize(Kernel):
r"""
A kernel fo... | 95 | 3,699 |
pyro | pyro/contrib/gp/kernels/brownian.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
from pyro.contrib.gp.kernels.kernel import Kernel
from pyro.nn.module import PyroParam
class Brownian(Kernel):
r"""
This kernel correponds to a two-sided Brownion ... | 51 | 1,577 |
pyro | pyro/contrib/gp/kernels/__init__.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from pyro.contrib.gp.kernels.brownian import Brownian
from pyro.contrib.gp.kernels.coregionalize import Coregionalize
from pyro.contrib.gp.kernels.dot_product import DotProduct, Linear, Polynomial
from pyro.contrib.gp.kernels.isotr... | 65 | 1,483 |
pyro | pyro/contrib/gp/kernels/dot_product.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
from pyro.contrib.gp.kernels.kernel import Kernel
from pyro.nn.module import PyroParam
class DotProduct(Kernel):
r"""
Base class for kernels which are functions of... | 86 | 2,646 |
pyro | pyro/contrib/gp/kernels/periodic.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import math
import torch
from torch.distributions import constraints
from pyro.contrib.gp.kernels.isotropic import Isotropy
from pyro.contrib.gp.kernels.kernel import Kernel
from pyro.nn.module import PyroParam
class Cosine(Iso... | 79 | 2,424 |
pyro | pyro/contrib/gp/models/vsgp.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
from torch.nn import Parameter
import pyro
import pyro.distributions as dist
import pyro.poutine as poutine
from pyro.contrib.gp.models.model import GPModel
from pyro.contri... | 218 | 8,417 |
pyro | pyro/contrib/gp/models/sgpr.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
from torch.nn import Parameter
import pyro
import pyro.distributions as dist
from pyro.contrib.gp.models.model import GPModel
from pyro.nn.module import PyroParam, pyro_meth... | 278 | 11,001 |
pyro | pyro/contrib/gp/models/model.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from pyro.contrib.gp.parameterized import Parameterized
def _zero_mean_function(x):
return 0
class GPModel(Parameterized):
r"""
Base class for Gaussian Process models.
The core of a Gaussian Proce... | 228 | 9,145 |
pyro | pyro/contrib/gp/models/__init__.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from pyro.contrib.gp.models.gplvm import GPLVM
from pyro.contrib.gp.models.gpr import GPRegression
from pyro.contrib.gp.models.model import GPModel
from pyro.contrib.gp.models.sgpr import SparseGPRegression
from pyro.contrib.gp.mod... | 19 | 546 |
pyro | pyro/contrib/gp/models/gplvm.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import pyro.distributions as dist
from pyro.contrib.gp.parameterized import Parameterized
from pyro.nn.module import PyroSample, pyro_method
class GPLVM(Parameterized):
"""
Gaussian Process Latent Variable Model (GPLVM) m... | 96 | 3,897 |
pyro | pyro/contrib/gp/models/vgp.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
from torch.nn import Parameter
import pyro
import pyro.distributions as dist
from pyro.contrib.gp.models.model import GPModel
from pyro.contrib.gp.util import conditional
fr... | 181 | 6,859 |
pyro | pyro/contrib/gp/models/gpr.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
import torch.distributions as torchdist
from torch.distributions import constraints
import pyro
import pyro.distributions as dist
from pyro.contrib.gp.models.model import GPModel
from pyro.contrib.gp.util import condi... | 234 | 8,932 |
pyro | pyro/contrib/tracking/distributions.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
import pyro.distributions as dist
from pyro.contrib.tracking.extended_kalman_filter import EKFState
from pyro.contrib.tracking.measurements import PositionMeasurement
from p... | 103 | 3,577 |
pyro | pyro/contrib/tracking/__init__.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from pyro.contrib.tracking import assignment
__all__ = [
"assignment",
]
| 9 | 167 |
pyro | pyro/contrib/tracking/assignment.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import itertools
import math
import numbers
import torch
import pyro.distributions as dist
from pyro.util import warn_if_nan
def _product(factors):
result = 1.0
for factor in factors:
result = result * factor
... | 459 | 19,243 |
pyro | pyro/contrib/tracking/dynamic_models.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from abc import ABCMeta, abstractmethod
import torch
from torch import nn
from torch.nn import Parameter
import pyro.distributions as dist
from pyro.distributions.util import eye_like
class DynamicModel(nn.Module, metaclass=ABC... | 468 | 16,560 |
pyro | pyro/contrib/tracking/measurements.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from abc import ABCMeta, abstractmethod
import torch
from pyro.distributions.util import eye_like
class Measurement(object, metaclass=ABCMeta):
"""
Gaussian measurement interface.
:param mean: mean of measurement d... | 154 | 4,544 |
pyro | pyro/contrib/tracking/extended_kalman_filter.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions.utils import lazy_property
import pyro.distributions as dist
from pyro.distributions.util import eye_like
class EKFState:
"""
State-Centric EKF (Extended Kalman Filter) for use with ... | 228 | 7,796 |
pyro | pyro/contrib/tracking/hashing.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import heapq
import itertools
from collections import defaultdict
from numbers import Number
import torch
class LSH:
"""
Implements locality-sensitive hashing for low-dimensional euclidean space.
Allows to efficien... | 220 | 7,266 |
pyro | pyro/contrib/mue/models.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
"""
Example MuE observation models.
"""
import datetime
import numpy as np
import torch
import torch.nn as nn
from torch.nn.functional import softplus
from torch.optim import Adam
from torch.utils.data import DataLoader
import pyro
... | 873 | 34,329 |
pyro | pyro/contrib/mue/missingdatahmm.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import Categorical, OneHotCategorical
from pyro.distributions import constraints
from pyro.distributions.hmm import _sequential_logmatmulexp
from pyro.distributions.torch_distribution import Torch... | 318 | 13,358 |
pyro | pyro/contrib/mue/dataloaders.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import torch
from torch.utils.data import Dataset
alphabets = {
"amino-acid": np.array(
[
"R",
"H",
"K",
"D",
"E",
"S",
... | 198 | 6,063 |
pyro | pyro/contrib/mue/statearrangers.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import torch
import torch.nn as nn
class Profile(nn.Module):
"""
Profile HMM state arrangement. Parameterizes an HMM according to
Equation S40 in [1] (with r_{M+1,j} = 1 and u_{M+1,j} = 0
for j in {0, 1, 2}). For furt... | 208 | 9,017 |
pyro | pyro/contrib/easyguide/__init__.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from pyro.contrib.easyguide.easyguide import EasyGuide, easy_guide
__all__ = [
"EasyGuide",
"easy_guide",
]
| 10 | 206 |
pyro | pyro/contrib/easyguide/easyguide.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import re
import weakref
from abc import ABCMeta, abstractmethod
from contextlib import ExitStack
import torch
from torch.distributions import biject_to
import pyro
import pyro.distributions as dist
import pyro.poutine as poutine... | 345 | 12,922 |
pyro | pyro/contrib/examples/nextstrain.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import logging
import os
import subprocess
import urllib
import torch
from .util import _mkdir_p, get_data_directory
DATA = get_data_directory(__file__)
URL = "https://github.com/pyro-ppl/datasets/raw/master/nextstrain.data.pt.gz"
... | 45 | 1,567 |
pyro | pyro/contrib/examples/util.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import os
import sys
import torchvision.datasets as datasets
from torch.utils.data import DataLoader
from torchvision import transforms
class MNIST(datasets.MNIST):
mirrors = ["https://github.com/pyro-ppl/datasets/blob/maste... | 85 | 2,479 |
pyro | pyro/contrib/examples/polyphonic_data_loader.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
"""
Data loader logic with two main responsibilities:
(i) download raw data and process; this logic is initiated upon import
(ii) helper functions for dealing with mini-batches, sequence packing, etc.
Data are taken from
Boulang... | 181 | 6,924 |
pyro | pyro/contrib/examples/scanvi_data.py | .py | # Copyright Contributors to the Pyro project.
# Copyright (c) 2020, YosefLab.
# SPDX-License-Identifier: Apache-2.0 AND BSD-3-Clause
"""
The data preprocessing code in this script is adapted from:
https://github.com/YosefLab/scvi-tutorials/blob/50dd3269abfe0c375ec47114f2c20725a016736f/seed_labeling.ipynb
"""
import m... | 234 | 7,442 |
pyro | pyro/contrib/examples/finance.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import os
import urllib
import pandas as pd
from pyro.contrib.examples.util import _mkdir_p, get_data_directory
DATA = get_data_directory(__file__)
# https://finance.yahoo.com/quote/%5EGSPC/history/
CACHE_URL = "https://github.com/... | 27 | 705 |
pyro | pyro/contrib/examples/bart.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import argparse
import bz2
import csv
import datetime
import logging
import multiprocessing
import os
import subprocess
import sys
import urllib
from functools import partial
import torch
from pyro.contrib.examples.util import _m... | 189 | 6,858 |
pyro | pyro/contrib/examples/multi_mnist.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
"""
This script generates a dataset similar to the Multi-MNIST dataset
described in [1].
[1] Eslami, SM Ali, et al. "Attend, infer, repeat: Fast scene
understanding with generative models." Advances in Neural Information
Processin... | 95 | 2,920 |
pyro | pyro/optim/dct_adam.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import math
from typing import Callable, Dict, Optional, Tuple
import torch
from torch.nn.functional import pad
from torch.optim.optimizer import Optimizer
from pyro.ops.tensor_utils import dct, idct, next_fast_len
def _transform_f... | 215 | 7,641 |
pyro | pyro/optim/adagrad_rmsprop.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from typing import Any, Callable, Optional
import torch
from torch.optim.optimizer import Optimizer
class AdagradRMSProp(Optimizer):
"""
Implements a mash-up of the Adagrad algorithm and RMSProp. For the precise
upda... | 88 | 3,060 |
pyro | pyro/optim/clipped_adam.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import math
from typing import Any, Callable, Optional, Tuple
import torch
from torch.optim.optimizer import Optimizer
class ClippedAdam(Optimizer):
"""
:param params: iterable of parameters to optimize or dicts defining... | 111 | 4,093 |
pyro | pyro/optim/optim.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import inspect
from typing import (
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Type,
Union,
ValuesView,
)
import torch
from torch import Tensor
from torch.nn.utils import clip_grad_norm_, cl... | 289 | 10,660 |
pyro | pyro/optim/__init__.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import pyro.optim.multi # noqa F403
from pyro.optim.horovod import HorovodOptimizer
from pyro.optim.lr_scheduler import PyroLRScheduler
from pyro.optim.optim import AdagradRMSProp, ClippedAdam, DCTAdam, PyroOptim
from pyro.optim.p... | 20 | 594 |
pyro | pyro/optim/multi.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from typing import Dict, List
import torch
from pyro.ops.newton import newton_step
from pyro.optim.optim import PyroOptim
class MultiOptimizer:
"""
Base class of optimizers that make use of higher-order derivatives.
... | 169 | 6,391 |
pyro | pyro/optim/horovod.py | .py | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
from typing import List, Union, ValuesView
from torch.optim import Optimizer
import pyro
from .optim import PyroOptim
class HorovodOptimizer(PyroOptim):
r"""
Distributed wrapper for a :class:`~pyro.optim.optim.PyroOptim` o... | 56 | 1,906 |
pyro | pyro/optim/lr_scheduler.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from typing import Any, Dict, Iterable, List, Optional, Union, ValuesView
from torch import Tensor
from pyro.optim.optim import PyroOptim
class PyroLRScheduler(PyroOptim):
"""
A wrapper for :class:`~torch.optim.lr_sched... | 64 | 2,351 |
pyro | pyro/optim/pytorch_optimizers.py | .py | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
from pyro.optim import PyroOptim
from pyro.optim.lr_scheduler import PyroLRScheduler
__all__ = []
# Programmatically load all optimizers from PyTorch.
for _name, _Optim in torch.optim.__dict__.items():
if not isi... | 61 | 1,805 |
pymc | setup.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 82 | 2,764 |
pymc | pymc/vartypes.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 44 | 1,277 |
pymc | pymc/blocking.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 122 | 3,579 |
pymc | pymc/exceptions.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 110 | 3,140 |
pymc | pymc/util.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 613 | 20,765 |
pymc | pymc/_version.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 697 | 25,108 |
pymc | pymc/model_graph.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 909 | 29,616 |
pymc | pymc/math.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 552 | 11,905 |
pymc | pymc/data.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 362 | 12,140 |
pymc | pymc/testing.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 1,435 | 52,650 |
pymc | pymc/printing.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 570 | 19,866 |
pymc | pymc/_deprecations.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 130 | 4,668 |
pymc | pymc/func_utils.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 207 | 7,869 |
pymc | pymc/initial_point.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 368 | 14,535 |
pymc | pymc/pytensorf.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 1,129 | 37,470 |
pymc | pymc/dims/model.py | .py | # Copyright 2025 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 91 | 3,871 |
pymc | pymc/dims/__init__.py | .py | # Copyright 2025 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 55 | 1,933 |
pymc | pymc/dims/distributions/transforms.py | .py | # Copyright 2025 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 207 | 6,518 |
pymc | pymc/dims/distributions/vector.py | .py | # Copyright 2025 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 265 | 9,691 |
pymc | pymc/dims/distributions/scalar.py | .py | # Copyright 2025 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 350 | 11,504 |
pymc | pymc/dims/distributions/censored.py | .py | # Copyright 2026 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 68 | 2,942 |
pymc | pymc/dims/distributions/core.py | .py | # Copyright 2025 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 383 | 15,258 |
pymc | pymc/step_methods/metropolis.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 1,258 | 43,178 |
pymc | pymc/step_methods/state.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 122 | 4,975 |
pymc | pymc/step_methods/arraystep.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 236 | 8,598 |
pymc | pymc/step_methods/__init__.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 61 | 1,838 |
pymc | pymc/step_methods/slicer.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 217 | 7,178 |
pymc | pymc/step_methods/compound.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 427 | 14,604 |
pymc | pymc/step_methods/step_sizes.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 106 | 3,496 |
pymc | pymc/step_methods/hmc/hmc.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 237 | 9,275 |
pymc | pymc/step_methods/hmc/quadpotential.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 960 | 33,106 |
pymc | pymc/step_methods/hmc/integration.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 146 | 4,701 |
pymc | pymc/step_methods/hmc/nuts.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 490 | 20,053 |
pymc | pymc/step_methods/hmc/base_hmc.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 303 | 10,589 |
pymc | pymc/plots/__init__.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 40 | 1,251 |
pymc | pymc/tuning/starting.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 270 | 9,802 |
pymc | pymc/tuning/scaling.py | .py | # Copyright 2024 - present The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 139 | 3,898 |
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