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public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/pyplots/tracker_binary.py | import matplotlib.pyplot as plt
import torch
import torchmetrics
N = 10
num_updates = 10
num_steps = 5
w = torch.tensor([0.2, 0.8])
target = lambda it: torch.multinomial((it * w).softmax(dim=-1), 100, replacement=True)
preds = lambda it: (it * torch.randn(100)).sigmoid()
confmat = torchmetrics.ConfusionMatrix(task=... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/pyplots/collection_binary_together.py | import matplotlib.pyplot as plt
import torch
import torchmetrics
N = 10
num_updates = 10
num_steps = 5
w = torch.tensor([0.2, 0.8])
target = lambda it: torch.multinomial((it * w).softmax(dim=-1), 100, replacement=True)
preds = lambda it: torch.multinomial((it * w).softmax(dim=-1), 100, replacement=True)
collection ... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/pyplots/binary_accuracy_multistep.py | import matplotlib.pyplot as plt
import torch
import torchmetrics
N = 10
num_updates = 10
num_steps = 5
w = torch.tensor([0.2, 0.8])
target = lambda it: torch.multinomial((it * w).softmax(dim=-1), 100, replacement=True)
preds = lambda it: torch.multinomial((it * w).softmax(dim=-1), 100, replacement=True)
fig, ax = p... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/_templates/theme_variables.jinja | {%- set external_urls = {
'github': 'https://github.com/Lightning-AI/torchmetrics',
'github_issues': 'https://github.com/Lightning-AI/torchmetrics/issues',
'contributing': 'https://github.com/Lightning-AI/torchmetrics/blob/master/.github/CONTRIBUTING.md',
'docs': 'https://lightning.ai/docs/torchmetrics/latest',... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/_templates/classtemplate.rst | .. role:: hidden
:class: hidden-section
.. currentmodule:: {{ module }}
{{ name | underline}}
.. autoclass:: {{ name }}
:members:
..
autogenerated from source/_templates/classtemplate.rst
note it does not have :inherited-members:
| 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/_templates/layout.html | {% extends "!layout.html" %}
<link rel="canonical" href="{{ theme_canonical_url }}{{ pagename }}.html" />
{% block footer %} {{ super() }}
<script script type="text/javascript">
var collapsedSections = [
"Audio",
"Classification",
"Image",
"Detection",
"Pairwise",
"Regression",
"Retrieval... | 0 |
public_repos/torchmetrics/docs/source/_templates | public_repos/torchmetrics/docs/source/_templates/autosummary/module.rst | {{ name | escape | underline }}
.. currentmodule:: {{ fullname }}
{% block functions %}
{% if functions %}
.. rubric:: Functions
.. autosummary::
:nosignatures:
{% for item in functions %}
{{ item }}
{%- endfor %}
{% endif %}
{% endblock %}
{% block classes %}
{% if classes %}
.. rubric:: Classes
.. autosu... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/_static/copybutton.js | /* Copied from the official Python docs: https://docs.python.org/3/_static/copybutton.js */
$(document).ready(function () {
/* Add a [>>>] button on the top-right corner of code samples to hide
* the >>> and ... prompts and the output and thus make the code
* copyable. */
var div = $(
".highlight-python .... | 0 |
public_repos/torchmetrics/docs/source/_static | public_repos/torchmetrics/docs/source/_static/images/logo.svg | <svg width="390" height="100" viewBox="0 0 390 100" fill="none" xmlns="http://www.w3.org/2000/svg">
<g clip-path="url(#clip0_402_94)">
<path d="M41.5646 0.591703L1.76872 23.6686C1.17915 23.9645 0.88437 24.5562 0.294801 25.1479C0.0547165 25.7069 -0.0464476 26.3161 1.54153e-05 26.9231V73.0769C0.0610756 73.7056 0.262599 7... | 0 |
public_repos/torchmetrics/docs/source/_static | public_repos/torchmetrics/docs/source/_static/images/logo_light.svg | <svg width="202" height="42" viewBox="0 0 202 42" fill="none" xmlns="http://www.w3.org/2000/svg">
<path fill-rule="evenodd" clip-rule="evenodd" d="M0 10.5L17.9393 0L35.88 10.5V31.5L17.94 42L0 31.5V10.5ZM17 15V26H15L15 15H17ZM26 27H10V29H26V27ZM25 13V26H23V13H25ZM13 26V21H11V26H13ZM19 26V17H21V26H19Z" fill="#792EE5"/>
<... | 0 |
public_repos/torchmetrics/docs/source/_static | public_repos/torchmetrics/docs/source/_static/images/icon.svg | <svg width="87" height="101" viewBox="0 0 87 101" fill="none" xmlns="http://www.w3.org/2000/svg">
<g clip-path="url(#clip0_4_50)">
<path d="M41.5884 0.710874L1.79245 23.7878C1.20288 24.0837 0.908094 24.6754 0.318525 25.2671C0.0784401 25.8261 -0.022724 26.4353 0.023739 27.0422V73.1961C0.0847992 73.8248 0.286322 74.4315 ... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/word_info_preserved.rst | .. customcarditem::
:header: Word Information Preserved
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
####################
Word Info. Preserved
####################
Module Interface
________________
.. autoclass:: torchmetrics.text.... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/edit.rst | .. customcarditem::
:header: Edit Distance
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
#############
Edit Distance
#############
Module Interface
________________
.. autoclass:: torchmetrics.text.EditDistance
:exclude-members:... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/char_error_rate.rst | .. customcarditem::
:header: Character Error Rate
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
###############
Char Error Rate
###############
Module Interface
________________
.. autoclass:: torchmetrics.text.CharErrorRate
:ex... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/word_info_lost.rst | .. customcarditem::
:header: Word Information Lost
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
###############
Word Info. Lost
###############
Module Interface
________________
.. autoclass:: torchmetrics.text.WordInfoLost
:ex... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/squad.rst | .. customcarditem::
:header: SQuAD
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
#####
SQuAD
#####
Module Interface
________________
.. autoclass:: torchmetrics.text.SQuAD
:exclude-members: update, compute
Functional Interface
... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/rouge_score.rst | .. customcarditem::
:header: ROUGE Score
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
###########
ROUGE Score
###########
Module Interface
________________
.. autoclass:: torchmetrics.text.rouge.ROUGEScore
:exclude-members: upd... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/translation_edit_rate.rst | .. customcarditem::
:header: Translation Edit Rate (TER)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
###########################
Translation Edit Rate (TER)
###########################
Module Interface
________________
.. autoclas... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/bert_score.rst | .. customcarditem::
:header: BERT Score
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
##########
BERT Score
##########
Module Interface
________________
.. autoclass:: torchmetrics.text.bert.BERTScore
:exclude-members: update, c... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/perplexity.rst | .. customcarditem::
:header: Perplexity
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
##########
Perplexity
##########
Module Interface
________________
.. autoclass:: torchmetrics.text.perplexity.Perplexity
:exclude-members: up... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/extended_edit_distance.rst | .. customcarditem::
:header: Extended Edit Distance
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
######################
Extended Edit Distance
######################
Module Interface
________________
.. autoclass:: torchmetrics.tex... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/bleu_score.rst | .. customcarditem::
:header: BLEU Score
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
##########
BLEU Score
##########
Module Interface
________________
.. autoclass:: torchmetrics.text.BLEUScore
:exclude-members: update, comput... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/sacre_bleu_score.rst | .. customcarditem::
:header: Sacre BLEU Score
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
################
Sacre BLEU Score
################
Module Interface
________________
.. autoclass:: torchmetrics.text.SacreBLEUScore
:ex... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/infolm.rst | .. customcarditem::
:header: InfoLM
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
######
InfoLM
######
Module Interface
________________
.. autoclass:: torchmetrics.text.infolm.InfoLM
:exclude-members: update, compute
Functiona... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/match_error_rate.rst | .. customcarditem::
:header: Match Error Rate
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
################
Match Error Rate
################
Module Interface
________________
.. autoclass:: torchmetrics.text.MatchErrorRate
:ex... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/chrf_score.rst | .. customcarditem::
:header: ChrF Score
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
##########
ChrF Score
##########
Module Interface
________________
.. autoclass:: torchmetrics.text.CHRFScore
:exclude-members: update, comput... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/text/word_error_rate.rst | .. customcarditem::
:header: Word Error Rate
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/summarization.svg
:tags: Text
.. include:: ../links.rst
###############
Word Error Rate
###############
Module Interface
________________
.. autoclass:: torchmetrics.text.WordErrorRate
:exclude... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/wrappers/running.rst | .. customcarditem::
:header: Running
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/graph_classification.svg
:tags: Wrappers
.. include:: ../links.rst
#######
Running
#######
Module Interface
________________
.. autoclass:: torchmetrics.wrappers.Running
:exclude-members: update, compu... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/wrappers/classwise_wrapper.rst | .. customcarditem::
:header: Classwise Wrapper
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/graph_classification.svg
:tags: Wrappers
.. include:: ../links.rst
#################
Classwise Wrapper
#################
Module Interface
________________
.. autoclass:: torchmetrics.wrappers.Cla... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/wrappers/min_max.rst | .. customcarditem::
:header: Min / Max
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/graph_classification.svg
:tags: Wrappers
.. include:: ../links.rst
#########
Min / Max
#########
Module Interface
________________
.. autoclass:: torchmetrics.wrappers.MinMaxMetric
| 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/wrappers/bootstrapper.rst | .. customcarditem::
:header: Bootstrapper
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/graph_classification.svg
:tags: Wrappers
.. include:: ../links.rst
############
Bootstrapper
############
Module Interface
________________
.. autoclass:: torchmetrics.wrappers.BootStrapper
| 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/wrappers/metric_tracker.rst | .. customcarditem::
:header: Metric Tracker
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/graph_classification.svg
:tags: Wrappers
.. include:: ../links.rst
##############
Metric Tracker
##############
Module Interface
________________
.. autoclass:: torchmetrics.wrappers.MetricTracker
... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/wrappers/multi_task_wrapper.rst | .. customcarditem::
:header: Multi-task Wrapper
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/graph_classification.svg
:tags: Wrappers
.. include:: ../links.rst
####################
Multi-task Wrapper
####################
Module Interface
________________
.. autoclass:: torchmetrics.wrap... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/wrappers/multi_output_wrapper.rst | .. customcarditem::
:header: Multi-output Wrapper
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/graph_classification.svg
:tags: Wrappers
.. include:: ../links.rst
####################
Multi-output Wrapper
####################
Module Interface
________________
.. autoclass:: torchmetrics.... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/complex_scale_invariant_signal_noise_ratio.rst | .. customcarditem::
:header: Complex Scale-Invariant Signal-to-Noise Ratio (C-SI-SNR)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
########################################################
Complex Scale-Invariant Signal-to-Noi... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/signal_noise_ratio.rst | .. customcarditem::
:header: Signal-to-Noise Ratio (SNR)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
###########################
Signal-to-Noise Ratio (SNR)
###########################
Module Interface
________________
.. ... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/scale_invariant_signal_noise_ratio.rst | .. customcarditem::
:header: Scale-Invariant Signal-to-Noise Ratio (SI-SNR)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
##############################################
Scale-Invariant Signal-to-Noise Ratio (SI-SNR)
##########... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/speech_reverberation_modulation_energy_ratio.rst | .. customcarditem::
:header: Speech-to-Reverberation Modulation Energy Ratio (SRMR)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
######################################################
Speech-to-Reverberation Modulation Energy... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/scale_invariant_signal_distortion_ratio.rst | .. customcarditem::
:header: Scale-Invariant Signal-to-Distortion Ratio (SI-SDR)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
###################################################
Scale-Invariant Signal-to-Distortion Ratio (SI-... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/permutation_invariant_training.rst | .. customcarditem::
:header: Permutation Invariant Training (PIT)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
####################################
Permutation Invariant Training (PIT)
####################################
Mo... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/signal_distortion_ratio.rst | .. customcarditem::
:header: Signal to Distortion Ratio (SDR)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
################################
Signal to Distortion Ratio (SDR)
################################
Module Interface
_... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/short_time_objective_intelligibility.rst | .. customcarditem::
:header: Short-Time Objective Intelligibility (STOI)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
###########################################
Short-Time Objective Intelligibility (STOI)
###################... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/source_aggregated_signal_distortion_ratio.rst | .. customcarditem::
:header: Source Aggregated Signal-to-Distortion Ratio (SA-SDR)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
#####################################################
Source Aggregated Signal-to-Distortion Rati... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/audio/perceptual_evaluation_speech_quality.rst | .. customcarditem::
:header: Perceptual Evaluation of Speech Quality (PESQ)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/audio_classification.svg
:tags: Audio
.. include:: ../links.rst
##############################################
Perceptual Evaluation of Speech Quality (PESQ)
##########... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/references/utilities.rst | .. role:: hidden
:class: hidden-section
######################
torchmetrics.utilities
######################
In the following is listed public utility functions that may be beneficial to use in your own code. These functions are
not part of the public API and may change at any time.
***************************
t... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/references/metric.rst | .. role:: hidden
:class: hidden-section
###################
torchmetrics.Metric
###################
The base ``Metric`` class is an abstract base class that are used as the building block for all other Module
metrics.
.. autoclass:: torchmetrics.Metric
| 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/retrieval/r_precision.rst | .. customcarditem::
:header: Retrieval R-Precision
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/text_classification.svg
:tags: Retrieval
.. include:: ../links.rst
#####################
Retrieval R-Precision
#####################
Module Interface
________________
.. autoclass:: torchmetr... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/retrieval/mrr.rst | .. customcarditem::
:header: Retrieval Mean Reciprocal Rank (MRR)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/text_classification.svg
:tags: Retrieval
.. include:: ../links.rst
####################################
Retrieval Mean Reciprocal Rank (MRR)
####################################
... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/retrieval/map.rst | .. customcarditem::
:header: Retrieval Mean Average Precision (MAP)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/text_classification.svg
:tags: Retrieval
.. include:: ../links.rst
######################################
Retrieval Mean Average Precision (MAP)
###############################... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/retrieval/fall_out.rst | .. customcarditem::
:header: Retrieval Fall-Out
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/text_classification.svg
:tags: Retrieval
.. include:: ../links.rst
##################
Retrieval Fall-Out
##################
Module Interface
________________
.. autoclass:: torchmetrics.retrieva... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/retrieval/recall.rst | .. customcarditem::
:header: Retrieval Recall
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/text_classification.svg
:tags: Retrieval
.. include:: ../links.rst
################
Retrieval Recall
################
Module Interface
________________
.. autoclass:: torchmetrics.retrieval.Retrie... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/retrieval/hit_rate.rst | .. customcarditem::
:header: Retrieval Hit Rate
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/text_classification.svg
:tags: Retrieval
.. include:: ../links.rst
##################
Retrieval Hit Rate
##################
Module Interface
________________
.. autoclass:: torchmetrics.retrieva... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/retrieval/precision.rst | .. customcarditem::
:header: Retrieval Precision
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/text_classification.svg
:tags: Retrieval
.. include:: ../links.rst
###################
Retrieval Precision
###################
Module Interface
________________
.. autoclass:: torchmetrics.retr... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/retrieval/normalized_dcg.rst | .. customcarditem::
:header: Retrieval Normalized Discounted Cumulative Gain (DCG)
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/text_classification.svg
:tags: Retrieval
.. include:: ../links.rst
########################
Retrieval Normalized DCG
########################
Module Interface
_... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/retrieval/precision_recall_curve.rst | .. customcarditem::
:header: Precision Recall Curve
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/text_classification.svg
:tags: Retrieval
.. include:: ../links.rst
######################
Precision Recall Curve
######################
Module Interface
________________
.. autoclass:: torch... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/multimodal/clip_score.rst | .. customcarditem::
:header: CLIP Score
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/image_classification.svg
:tags: Image
.. include:: ../links.rst
##########
CLIP Score
##########
Module Interface
________________
.. autoclass:: torchmetrics.multimodal.clip_score.CLIPScore
Functional... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/multimodal/clip_iqa.rst | .. customcarditem::
:header: CLIP IQA
:image: https://pl-flash-data.s3.amazonaws.com/assets/thumbnails/image_classification.svg
:tags: Image
.. include:: ../links.rst
########################################
CLIP Image Quality Assessment (CLIP-IQA)
########################################
Module Interface
_... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/pages/lightning.rst | .. testsetup:: *
import torch
from torch.nn import Module
from lightning.pytorch import LightningModule
from torchmetrics import Metric
#################################
TorchMetrics in PyTorch Lightning
#################################
TorchMetrics was originally created as part of `PyTorch Lightni... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/pages/quickstart.rst | ###########
Quick Start
###########
TorchMetrics is a collection of 100+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
* A standardized interface to increase reproducibility
* Reduces Boilerplate
* Distributed-training compatible
* Rigorously tested
* Automatic accumulati... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/pages/overview.rst | .. testsetup:: *
import torch
from lightning.pytorch import LightningModule
##################
Structure Overview
##################
TorchMetrics is a Metrics API created for easy metric development and usage in
PyTorch and PyTorch Lightning. It is rigorously tested for all edge cases and includes a growing ... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/pages/implement.rst | .. _implement:
.. testsetup:: *
from typing import Optional, Sequence, Union
from torch import Tensor
#####################
Implementing a Metric
#####################
While we strive to include as many metrics as possible in ``torchmetrics``, we cannot include them all. Therefore, we
have made it easy to i... | 0 |
public_repos/torchmetrics/docs/source | public_repos/torchmetrics/docs/source/pages/plotting.rst | .. _plotting:
.. testsetup:: *
import torch
import matplotlib
import matplotlib.pyplot as plt
import torchmetrics
########
Plotting
########
.. note::
The visualization/plotting interface of Torchmetrics requires ``matplotlib`` to be installed. Install with either
``pip install matplotlib`` ... | 0 |
public_repos/torchmetrics/docs | public_repos/torchmetrics/docs/paper_JOSS/paper.md | ---
title: TorchMetrics - Measuring Reproducibility in PyTorch
tags:
- python
- deep learning
- pytorch
authors:
- name: Nicki Skafte Detlefsen
affiliation: '1,2'
orcid: 0000-0002-8133-682X
- name: Jiri Borovec
affiliation: '1'
orcid: 0000-0001-7437-824X
- name: Justus Schock
affiliation... | 0 |
public_repos/torchmetrics/docs | public_repos/torchmetrics/docs/paper_JOSS/paper.bib | @misc{reproducibility,
title={Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining},
author={Josh Gardner and Yuming Yang and Ryan Baker and Christopher Brooks},
year={2018},
eprint={1806.05208},
archivePrefix={arXiv},
primaryClass={cs.CY}
}
@inproceedings... | 0 |
public_repos | public_repos/twitter-finetune/app.py | import langchain
import streamlit as st
from langchain.prompts import ChatPromptTemplate
from langchain.chat_models import ChatOpenAI
from langchain.schema.output_parser import StrOutputParser
from langchain.callbacks.tracers.langchain import wait_for_all_tracers
from langchain.callbacks.tracers.run_collector import Ru... | 0 |
public_repos | public_repos/twitter-finetune/requirements.txt | openai
langchain
streamlit
streamlit_feedback
| 0 |
public_repos | public_repos/twitter-finetune/README.md | # Twitter Finetune
This repo shows how to finetune GPT-3.5-Turbo on tweets. Specifically, Elon Musk's tweets.
In this example, data is first exported from Twitter using [Apify](https://apify.com/).
A copy of this data can be found in [dataset_twitter-scraper_2023-08-23_22-13-19-740.json](dataset_twitter-scraper_2023-... | 0 |
public_repos | public_repos/twitter-finetune/dataset_twitter-scraper_2023-08-23_22-13-19-740.json | [{
"username": "elonmusk",
"user_id": "44196397",
"id": "1519480761749016577",
"conversation_id": "1519480761749016577",
"full_text": "Next I’m buying Coca-Cola to put the cocaine back in",
"reply_count": 187291,
"retweet_count": 648962,
"favorite_count": 4596262,
"hashtags": [],
"symbols": [],
"u... | 0 |
public_repos | public_repos/twitter-finetune/ingest.py | import json
from langchain.schema import AIMessage
from langchain.adapters.openai import convert_message_to_dict
import time
import openai
from io import BytesIO
if __name__ == "__main__":
with open('dataset_twitter-scraper_2023-08-23_22-13-19-740.json') as f:
data = json.load(f)
tweets = [d["full_te... | 0 |
public_repos | public_repos/numpy-stubs/.flake8 | # Some PEP8 deviations are considered irrelevant to stub files:
# (error counts as of 2017-05-22)
# 17952 E704 multiple statements on one line (def)
# 12197 E301 expected 1 blank line
# 7155 E302 expected 2 blank lines
# 1463 F401 imported but unused
# 967 E701 multiple statements on one line (colon)
# 457 F811 r... | 0 |
public_repos | public_repos/numpy-stubs/setup.cfg | # Ignore the following errors (for stubs):
# E301 expected 1 blank line, found 0
# E302 expected 2 blank lines, found 1
# E305 expected 2 blank lines after class or function definition, found 1
# E701 multiple statements on one line (colon)
# E704 multiple statements on one line (def)
[flake8]
ignore = E301,... | 0 |
public_repos | public_repos/numpy-stubs/setup.py | from setuptools import setup
import os
def find_stubs(package):
stubs = []
for root, dirs, files in os.walk(package):
for file in files:
path = os.path.join(root, file).replace(package + os.sep, "", 1)
stubs.append(path)
return {package: stubs}
setup(
name="numpy-stub... | 0 |
public_repos | public_repos/numpy-stubs/.travis.yml | language: python
matrix:
include:
- python: 3.8
dist: xenial
- python: 3.7
dist: xenial
- python: 3.6
dist: xenial
notifications:
email: false
install:
- pip install -r test-requirements.txt
- pip install .
script:
- flake8
- black --check .
- py.test
cache:
directories:
- "$HO... | 0 |
public_repos | public_repos/numpy-stubs/runtests.py | #!/usr/bin/env python
import argparse
import ast
import importlib
import os
import subprocess
import sys
import pytest
STUBS_ROOT = os.path.dirname(os.path.abspath(__file__))
# Technically "public" functions (they don't start with an underscore)
# that we don't want to include.
BLACKLIST = {
"numpy": {
#... | 0 |
public_repos | public_repos/numpy-stubs/test-requirements.txt | black==18.9b0
flake8==3.7.9
flake8-pyi==18.3.1
pytest==4.0.0
mypy==0.770
| 0 |
public_repos | public_repos/numpy-stubs/README.md | **These stubs have been merged into NumPy, and all further development will happen in the NumPy main repo. We welcome your contributions there!**
| 0 |
public_repos | public_repos/numpy-stubs/LICENSE | Copyright (c) 2005-2017, NumPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and... | 0 |
public_repos/numpy-stubs | public_repos/numpy-stubs/numpy-stubs/__init__.pyi | import builtins
import sys
import datetime as dt
from abc import abstractmethod
from numpy.core._internal import _ctypes
from numpy.typing import ArrayLike, DtypeLike, _Shape, _ShapeLike
from typing import (
Any,
ByteString,
Callable,
Container,
Callable,
Dict,
Generic,
IO,
Iterabl... | 0 |
public_repos/numpy-stubs | public_repos/numpy-stubs/numpy-stubs/typing.pyi | import sys
from typing import Any, Dict, List, overload, Sequence, Text, Tuple, Union
from numpy import dtype, ndarray
if sys.version_info >= (3, 8):
from typing import Protocol
else:
from typing_extensions import Protocol
_Shape = Tuple[int, ...]
# Anything that can be coerced to a shape tuple
_ShapeLike =... | 0 |
public_repos/numpy-stubs/numpy-stubs | public_repos/numpy-stubs/numpy-stubs/core/_internal.pyi | from typing import Any
# TODO: add better annotations when ctypes is stubbed out
class _ctypes:
@property
def data(self) -> int: ...
@property
def shape(self) -> Any: ...
@property
def strides(self) -> Any: ...
def data_as(self, obj: Any) -> Any: ...
def shape_as(self, obj: Any) -> Any... | 0 |
public_repos/numpy-stubs | public_repos/numpy-stubs/tests/test_stubs.py | import importlib.util
import itertools
import os
import re
from collections import defaultdict
import pytest
from mypy import api
TESTS_DIR = os.path.dirname(__file__)
PASS_DIR = os.path.join(TESTS_DIR, "pass")
FAIL_DIR = os.path.join(TESTS_DIR, "fail")
REVEAL_DIR = os.path.join(TESTS_DIR, "reveal")
def get_test_ca... | 0 |
public_repos/numpy-stubs | public_repos/numpy-stubs/tests/README.md | Testing
=======
There are three main directories of tests right now:
- `pass/` which contain Python files that must pass `mypy` checking with
no type errors
- `fail/` which contain Python files that must *fail* `mypy` checking
with the annotated errors
- `reveal/` which contain Python files that must output the c... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/fail/numerictypes.py | import numpy as np
# Techincally this works, but probably shouldn't. See
#
# https://github.com/numpy/numpy/issues/16366
#
np.maximum_sctype(1) # E: incompatible type "int"
np.issubsctype(1, np.int64) # E: incompatible type "int"
np.issubdtype(1, np.int64) # E: incompatible type "int"
np.find_common_type(np.int6... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/fail/scalars.py | import numpy as np
# Construction
np.float32(3j) # E: incompatible type
# Technically the following examples are valid NumPy code. But they
# are not considered a best practice, and people who wish to use the
# stubs should instead do
#
# np.array([1.0, 0.0, 0.0], dtype=np.float32)
# np.array([], dtype=np.complex64... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/fail/simple.py | """Simple expression that should fail with mypy."""
import numpy as np
# Array creation routines checks
np.zeros("test") # E: incompatible type
np.zeros() # E: Too few arguments
np.ones("test") # E: incompatible type
np.ones() # E: Too few arguments
| 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/fail/warnings_and_errors.py | import numpy as np
np.AxisError(1.0) # E: Argument 1 to "AxisError" has incompatible type
np.AxisError(1, ndim=2.0) # E: Argument "ndim" to "AxisError" has incompatible type
np.AxisError(
2, msg_prefix=404 # E: Argument "msg_prefix" to "AxisError" has incompatible type
)
| 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/fail/ufuncs.py | import numpy as np
np.sin.nin + "foo" # E: Unsupported operand types
np.sin(1, foo="bar") # E: Unexpected keyword argument
np.sin(1, extobj=["foo", "foo", "foo"]) # E: incompatible type
| 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/fail/fromnumeric.py | """Tests for :mod:`numpy.core.fromnumeric`."""
import numpy as np
A = np.array(True, ndmin=2, dtype=bool)
A.setflags(write=False)
a = np.bool_(True)
np.take(a, None) # E: No overload variant of "take" matches argument type
np.take(a, axis=1.0) # E: No overload variant of "take" matches argument type
np.take(A, ou... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/fail/ndarray.py | import numpy as np
# Ban setting dtype since mutating the type of the array in place
# makes having ndarray be generic over dtype impossible. Generally
# users should use `ndarray.view` in this situation anyway. See
#
# https://github.com/numpy/numpy-stubs/issues/7
#
# for more context.
float_array = np.array([1.0])
f... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/fail/array_like.py | from typing import Any, TYPE_CHECKING
import numpy as np
if TYPE_CHECKING:
from numpy.typing import ArrayLike
else:
ArrayLike = Any
class A:
pass
x1: ArrayLike = (i for i in range(10)) # E: Incompatible types in assignment
x2: ArrayLike = A() # E: Incompatible types in assignment
x3: ArrayLike = {1:... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/numerictypes.py | import numpy as np
np.maximum_sctype("S8")
np.maximum_sctype(object)
np.issctype(object)
np.issctype("S8")
np.obj2sctype(list)
np.obj2sctype(list, default=None)
np.obj2sctype(list, default=np.string_)
np.issubclass_(np.int32, int)
np.issubclass_(np.float64, float)
np.issubclass_(np.float64, (int, float))
np.issubs... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/scalars.py | import numpy as np
# Construction
class C:
def __complex__(self):
return 3j
class B:
def __int__(self):
return 4
class A:
def __float__(self):
return 4.0
np.complex64(3j)
np.complex64(C())
np.complex128(3j)
np.complex128(C())
np.int8(4)
np.int16(3.4)
np.int32(4)
np.int64(-1)... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/simple.py | """Simple expression that should pass with mypy."""
import operator
import numpy as np
from typing import Iterable # noqa: F401
# Basic checks
array = np.array([1, 2])
def ndarray_func(x):
# type: (np.ndarray) -> np.ndarray
return x
ndarray_func(np.array([1, 2]))
array == 1
array.dtype == float
# Array ... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/warnings_and_errors.py | import numpy as np
np.AxisError(1)
np.AxisError(1, ndim=2)
np.AxisError(1, ndim=None)
np.AxisError(1, ndim=2, msg_prefix="error")
np.AxisError(1, ndim=2, msg_prefix=None)
| 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/ufuncs.py | import numpy as np
np.sin(1)
np.sin([1, 2, 3])
np.sin(1, out=np.empty(1))
np.matmul(np.ones((2, 2, 2)), np.ones((2, 2, 2)), axes=[(0, 1), (0, 1), (0, 1)])
np.sin(1, signature="D")
np.sin(1, extobj=[16, 1, lambda: None])
np.sin(1) + np.sin(1)
np.sin.types[0]
np.sin.__name__
| 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/fromnumeric.py | """Tests for :mod:`numpy.core.fromnumeric`."""
import numpy as np
A = np.array(True, ndmin=2, dtype=bool)
B = np.array(1.0, ndmin=2, dtype=np.float32)
A.setflags(write=False)
B.setflags(write=False)
a = np.bool_(True)
b = np.float32(1.0)
c = 1.0
np.take(a, 0)
np.take(b, 0)
np.take(c, 0)
np.take(A, 0)
np.take(B, 0)
... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/simple_py3.py | import numpy as np
array = np.array([1, 2])
# The @ operator is not in python 2
array @ array
| 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/ndarray_shape_manipulation.py | import numpy as np
nd1 = np.array([[1, 2], [3, 4]])
# reshape
nd1.reshape(4)
nd1.reshape(2, 2)
nd1.reshape((2, 2))
nd1.reshape((2, 2), order="C")
nd1.reshape(4, order="C")
# resize
nd1.resize()
nd1.resize(4)
nd1.resize(2, 2)
nd1.resize((2, 2))
nd1.resize((2, 2), refcheck=True)
nd1.resize(4, refcheck=True)
nd2 = n... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/ndarray_conversion.py | import os
import tempfile
import numpy as np
nd = np.array([[1, 2], [3, 4]])
scalar_array = np.array(1)
# item
scalar_array.item()
nd.item(1)
nd.item(0, 1)
nd.item((0, 1))
# tolist is pretty simple
# itemset
scalar_array.itemset(3)
nd.itemset(3, 0)
nd.itemset((0, 0), 3)
# tostring/tobytes
nd.tostring()
nd.tostrin... | 0 |
public_repos/numpy-stubs/tests | public_repos/numpy-stubs/tests/pass/array_like.py | from typing import Any, List, Optional, TYPE_CHECKING
import numpy as np
if TYPE_CHECKING:
from numpy.typing import ArrayLike, DtypeLike, _SupportsArray
else:
ArrayLike = Any
DtypeLike = Any
_SupportsArray = Any
x1: ArrayLike = True
x2: ArrayLike = 5
x3: ArrayLike = 1.0
x4: ArrayLike = 1 + 1j
x5: Arr... | 0 |
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