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
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# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.teachers... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/opensubtitles/agents.py | 0.763528 | 0.222954 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.teachers... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/squad2/agents.py | 0.833663 | 0.23513 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
# Download and build the d... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/scan/build.py | 0.655115 | 0.150434 | build.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.teachers... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/clevr/agents.py | 0.747892 | 0.184088 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.teachers... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/vqa_v1/agents.py | 0.748904 | 0.16872 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
# Download and build the d... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/visdial/build.py | 0.720565 | 0.169028 | build.py | pypi |
# Copyright (c) 2017-present, Moscow Institute of Physics and Technology.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same director... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/convai_chitchat/agents.py | 0.713931 | 0.179674 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.teachers... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/convai2/agents.py | 0.747984 | 0.184437 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
# Download and build the d... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/twitter/build.py | 0.643553 | 0.184473 | build.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
'''
Provides a dump of... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/wikipedia/agents.py | 0.716516 | 0.222954 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.agents i... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/taskntalk/agents.py | 0.722331 | 0.276993 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import itertools
import j... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/taskntalk/build.py | 0.83612 | 0.275813 | build.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.teachers... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/squad/agents.py | 0.744656 | 0.194387 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
# Download and build the d... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/coco_caption/build_2014.py | 0.639286 | 0.166066 | build_2014.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
# Download and build the d... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/coco_caption/build_2017.py | 0.631935 | 0.173078 | build_2017.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.teachers... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/coco_caption/agents.py | 0.794544 | 0.296896 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.teachers... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/qangaroo/agents.py | 0.727201 | 0.201636 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.teachers... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/tasks/flickr30k/agents.py | 0.720762 | 0.249739 | agents.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import parlai.core.build_... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/core/image_featurizers.py | 0.793106 | 0.195287 | image_featurizers.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Provides utilities usef... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/core/thread_utils.py | 0.832713 | 0.227523 | thread_utils.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Provides standard metri... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/core/metrics.py | 0.844553 | 0.328745 | metrics.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Basic example which ite... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/scripts/detect_offensive_language.py | 0.748904 | 0.181209 | detect_offensive_language.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Convert a dataset into ... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/scripts/convert_data_to_parlai_format.py | 0.646572 | 0.217784 | convert_data_to_parlai_format.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Basic example which it... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/scripts/eval_model.py | 0.814901 | 0.211173 | eval_model.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""
This helper script can... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/scripts/eval_wordstat.py | 0.76207 | 0.298773 | eval_wordstat.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Basic example which ite... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/scripts/display_data.py | 0.700383 | 0.267537 | display_data.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Basic example which all... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/scripts/interactive.py | 0.754825 | 0.167559 | interactive.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Verify data doesn't hav... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/scripts/verify_data.py | 0.68616 | 0.210888 | verify_data.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Basic example which it... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/scripts/extract_image_feature.py | 0.815049 | 0.30948 | extract_image_feature.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Run the python or pytor... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/scripts/profile_train.py | 0.779196 | 0.202759 | profile_train.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""This file contains a li... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/zoo/model_list.py | 0.886236 | 0.527317 | model_list.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""
Simple IR baselines.
... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/ir_baseline/ir_baseline.py | 0.927458 | 0.369514 | ir_baseline.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Simple agent which repe... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/repeat_label/repeat_label.py | 0.844553 | 0.223864 | repeat_label.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""
Baseline model which ... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/unigram/unigram.py | 0.882352 | 0.217857 | unigram.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Various retriever util... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/tfidf_retriever/utils.py | 0.87864 | 0.364042 | utils.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Rank documents with TF-... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/tfidf_retriever/tfidf_doc_ranker.py | 0.883751 | 0.296109 | tfidf_doc_ranker.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Regex based tokenizer ... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/tfidf_retriever/tokenizers/regexp_tokenizer.py | 0.684264 | 0.290547 | regexp_tokenizer.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Base tokenizer/tokens ... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/tfidf_retriever/tokenizers/tokenizer.py | 0.910708 | 0.430925 | tokenizer.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Simple wrapper around t... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/tfidf_retriever/tokenizers/corenlp_tokenizer.py | 0.83825 | 0.213254 | corenlp_tokenizer.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
"""Tokenizer that is back... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/tfidf_retriever/tokenizers/spacy_tokenizer.py | 0.735737 | 0.156943 | spacy_tokenizer.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.torch_ag... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/vsepp_caption/vsepp_caption.py | 0.931142 | 0.297559 | vsepp_caption.py | pypi |
# This file is covered under the Apache 2.0 License listed here
# <https://github.com/fartashf/vsepp/blob/master/LICENSE> as it is a
# Derivative Work of the repo.
import torch
from torch import optim
from torch.nn.utils.rnn import pack_padded_sequence
import torch.nn as nn
import torchvision.models as models
import... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/vsepp_caption/modules.py | 0.952783 | 0.485295 | modules.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import torch
import torch... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/memnn/modules.py | 0.909398 | 0.269121 | modules.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import math
import torch
... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/starspace/modules.py | 0.913527 | 0.170508 | modules.py | pypi |
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import torch.nn as nn
import torch.nn.functional as F
import torch
from .gru import Bayesian... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/mlb_vqa/mlb_modules.py | 0.942738 | 0.288707 | mlb_modules.py | pypi |
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import os
import numpy
import torch
from collections import OrderedDict
urls = {}
urls['di... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/mlb_vqa/loadstates.py | 0.638948 | 0.255672 | loadstates.py | pypi |
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import torch
import torch.nn as nn
import torch.nn.functional as F
from .dropout import Seque... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/mlb_vqa/gru.py | 0.945045 | 0.436322 | gru.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import math
import torch
... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/coopgame_agent/modules.py | 0.964178 | 0.452838 | modules.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.torch_ge... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/seq2seq/seq2seq.py | 0.948567 | 0.362885 | seq2seq.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import torch
import torch... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/legacy_agents/memnn/modules_v0.py | 0.957833 | 0.257269 | modules_v0.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import torch
import torch.... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/drqa/layers.py | 0.953351 | 0.352843 | layers.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import torch
import unicod... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/drqa/utils.py | 0.893524 | 0.358157 | utils.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import torch
import torch.... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/drqa/model.py | 0.889518 | 0.227448 | model.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
import torch
import torch.... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/parlai/agents/drqa/rnn_reader.py | 0.951182 | 0.229039 | rnn_reader.py | pypi |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from torch import nn
impo... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/projects/mastering_the_dungeon/agents/graph_world2/models.py | 0.931936 | 0.440409 | models.py | pypi |
# Copyright (c) 2017-present, Moscow Institute of Physics and Technology.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same director... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/projects/convai/convai_world.py | 0.88377 | 0.20264 | convai_world.py | pypi |
# Copyright (c) 2017-present, Moscow Institute of Physics and Technology.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same director... | /roboy_parlai-0.1.post3.tar.gz/roboy_parlai-0.1.post3/projects/convai/convai_bot.py | 0.746693 | 0.169853 | convai_bot.py | pypi |
from inspect import getmembers
from typing import Any
from pytest import MonkeyPatch
import functools
import io
import os
import socket
from .pytest_sandbox import MockOsModule
import builtins
import math
from dataclasses import is_dataclass, fields
from typing import Tuple
class MockedModule:
pass
class Prohib... | /robust_ai_utils-0.0.4.tar.gz/robust_ai_utils-0.0.4/robust_ai_utils/assert_utils.py | 0.689619 | 0.15511 | assert_utils.py | pypi |
Robust ATD CLI tools
================
[](https://github.com/shadowbq/robust-atd/releases)
[](/LICENSE)
[![GitHub Release Date... | /robust-atd-0.5.2.tar.gz/robust-atd-0.5.2/README.md | 0.450359 | 0.858778 | README.md | pypi |
import argparse
import ConfigParser
import os.path
import ratd
import ratd.utils as utils
def check_md5(value):
if len(value) != 32:
raise argparse.ArgumentTypeError("%s is an invalid md5 hash value" % value)
return value
def slash_dir(value):
if value[len(value)-1] != "/":
raise argpars... | /robust-atd-0.5.2.tar.gz/robust-atd-0.5.2/ratd/cliargs/__init__.py | 0.537041 | 0.224331 | __init__.py | pypi |
import numpy as np
from scipy.special import softmax
class CELoss(object):
def compute_bin_boundaries(self, probabilities = np.array([])):
#uniform bin spacing
if probabilities.size == 0:
bin_boundaries = np.linspace(0, 1, self.n_bins + 1)
self.bin_lowers = bin_boundari... | /robust_deep_learning-0.5.0-py3-none-any.whl/robust_deep_learning/uncertainty.py | 0.709422 | 0.336059 | uncertainty.py | pypi |
import torch.nn as nn
import torch
import math
class SoftMaxLossFirstPart(nn.Module):
def __init__(self, num_features, num_classes, temperature=1.0):
super(SoftMaxLossFirstPart, self).__init__()
self.num_features = num_features
self.num_classes = num_classes
self.temperature = nn.P... | /robust_deep_learning-0.5.0-py3-none-any.whl/robust_deep_learning/softmax.py | 0.943204 | 0.536313 | softmax.py | pypi |
import numpy as np
from .scores import get_scores
import sklearn.metrics
from .general import get_outputs_labels_and_metrics
def find_index_of_nearest(value, array):
array = np.asarray(array)
idx = (np.abs(array - value)).argmin()
return idx
def get_ood_metrics_from_scores(in_data_scores, out_data_sco... | /robust_deep_learning-0.5.0-py3-none-any.whl/robust_deep_learning/detection.py | 0.560493 | 0.349422 | detection.py | pypi |
# Robust DeID: De-Identification of Medical Notes using Transformer Architectures
[](https://zenodo.org/badge/latestdoi/458346577)
This repository was used to train and evaluate various de-identification models and strategies on medical notes from the I2B2-DEID dataset ... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/README.md | 0.667906 | 0.986507 | README.md | pypi |
import json
import random
from argparse import ArgumentParser
from typing import Union, NoReturn, Iterable, Dict, List
random.seed(41)
class SpanValidation(object):
"""
This class is used to build a mapping between the note id
and the annotated spans in that note. This will be used during the
evalua... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/span_validation.py | 0.851891 | 0.353177 | span_validation.py | pypi |
import re
import json
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from typing import Iterable, Dict, List, Sequence, Union, Mapping, Tuple, NoReturn
from .preprocessing import PreprocessingLoader
class SpanFixer(object):
"""
The tokens and spans may not align depending on the tokenizer... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/span_fixer.py | 0.885656 | 0.616128 | span_fixer.py | pypi |
import json
import random
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from typing import Iterable, Dict, List, Union, Optional, Sequence, NoReturn
from .dataset_builder import Dataset, SentenceDataset
from .preprocessing import PreprocessingLoader
random.seed(41)
class DatasetCreator(object):... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/dataset_creator.py | 0.885928 | 0.62223 | dataset_creator.py | pypi |
import json
import random
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from collections import Counter
from typing import NoReturn, List
from .distribution import NERDistribution, DatasetSplits, PrintDistribution
random.seed(41)
class DatasetSplitter(object):
"""
Prepare dataset splits... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/dataset_splitter.py | 0.890948 | 0.585753 | dataset_splitter.py | pypi |
from collections import deque
from typing import Deque, List, Sequence, Iterable, Optional, NoReturn, Dict, Mapping, Union, Tuple
class SentenceDataset(object):
"""
When we mention previous sentence and next sentence, we don't mean exactly one sentence
but rather a previous chunk and a next chunk. This ca... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/dataset_builder/sentence_dataset.py | 0.927256 | 0.833663 | sentence_dataset.py | pypi |
import random
import re
from typing import Iterable, Dict, Sequence, Union, Mapping, Optional, List
from .labels import NERTokenLabels, NERPredictTokenLabels, MismatchError
random.seed(41)
class Dataset(object):
"""
Build a NER token classification dataset. Each token should have a corresponding label
b... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/dataset_builder/dataset.py | 0.869632 | 0.783864 | dataset.py | pypi |
from typing import Mapping, Union, Sequence, List
from .mismatch_error import MismatchError
class NERTokenLabels(object):
"""
This class is used to align tokens with the spans
Each token is assigned one of the following labels
'B-LABEL', 'I-LABEL', 'O'. For example the text
360 Longwood Avenue is ... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/dataset_builder/labels/ner_token_labels.py | 0.902191 | 0.59884 | ner_token_labels.py | pypi |
from collections import Counter
from typing import Sequence, NoReturn
from .ner_distribution import NERDistribution
class PrintDistribution(object):
"""
This class is used to print the distribution of NER types
"""
def __init__(self, ner_distribution: NERDistribution, key_counts: Counter) -> NoRetur... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/distribution/print_distribution.py | 0.925222 | 0.232495 | print_distribution.py | pypi |
from collections import Counter, defaultdict
from typing import Sequence, Mapping, NoReturn
class NERDistribution(object):
"""
Store the distribution of ner types based on some key.
That is we store the NER type distribution for some given key value and we update
the distribution when spans related to... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/distribution/ner_distribution.py | 0.918013 | 0.42662 | ner_distribution.py | pypi |
from typing import Union, Optional, Sequence
from .sentencizers import SpacySentencizer, NoteSentencizer
from .tokenizers import ClinicalSpacyTokenizer, SpacyTokenizer, CoreNLPTokenizer
class PreprocessingLoader(object):
@staticmethod
def get_sentencizer(sentencizer: str) -> Union[SpacySentencizer, NoteSent... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/preprocessing/preprocessing_loader.py | 0.923708 | 0.178633 | preprocessing_loader.py | pypi |
import re
import spacy
from spacy.symbols import ORTH
from .spacy_tokenizer import SpacyTokenizer
from .utils import DateRegex, CleanRegex, ClinicalRegex
def read_abbreviations():
import importlib.resources as pkg_resources
from . import abbreviations
abbrevs = []
with pkg_resources.open_text(abbreviat... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/preprocessing/tokenizers/clinical_spacy_tokenizer.py | 0.514888 | 0.214465 | clinical_spacy_tokenizer.py | pypi |
import json
from typing import Iterable, Mapping, Dict, Union
from pycorenlp import StanfordCoreNLP
class CoreNLPTokenizer(object):
"""
This class is used to read text and return the tokens
present in the text (and their start and end positions)
using core nlp tokenization
"""
def __init__(s... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/preprocessing/tokenizers/core_nlp_tokenizer.py | 0.830732 | 0.355691 | core_nlp_tokenizer.py | pypi |
from typing import List
class CleanRegex(object):
"""
This class is used to define the regexes that will be used by the
spacy tokenizer rules. Mainly the regexes are used to clean up
tokens that have unwanted characters (e.g extra hyphens).
"""
#Staff - 3
#Hosp - 4, 5
#Loc - 2
@stati... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/ner_datasets/preprocessing/tokenizers/utils/clean_regex.py | 0.778818 | 0.589391 | clean_regex.py | pypi |
import json
import numpy as np
from scipy.special import softmax
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from typing import NoReturn
from sklearn.metrics import precision_recall_curve
from .dataset_builder import NERLabels
class RecallThresholder(object):
def __init__(self, ner_types, ... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/recall_thresholder.py | 0.772702 | 0.19235 | recall_thresholder.py | pypi |
from typing import Optional
from dataclasses import dataclass, field
@dataclass
class DataTrainingArguments:
"""
Arguments pertaining to what data we are going to input our model for training and eval.
"""
task_name: Optional[str] = field(
default="ner",
metadata={"help": "The name of t... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/arguments/data_training_arguments.py | 0.940415 | 0.50177 | data_training_arguments.py | pypi |
from collections import defaultdict
from typing import Sequence, Mapping, NoReturn, List, Union
class NoteLevelAggregator(object):
"""
The input while training the model is at a sentence level. What happens is we
have a bunch of notes (say 20) which we split into sentences and tokenize, so
we end up w... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/note_aggregate/note_level_aggregator.py | 0.915157 | 0.837487 | note_level_aggregator.py | pypi |
from typing import Sequence, NoReturn
import torch
from .utils import check_consistent_length
class CRFProcess(object):
def __init__(
self,
label_list: Sequence[str],
top_k: int
) -> NoReturn:
"""
Initialize a label list where the position corresponds to ... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/post_process/model_outputs/crf_process.py | 0.95452 | 0.619443 | crf_process.py | pypi |
from typing import Sequence, NoReturn, Tuple
import numpy as np
from scipy.special import softmax
from .utils import check_consistent_length
class ThresholdProcessMax(object):
"""
"""
def __init__(self, label_list: Sequence[str], threshold: float) -> NoReturn:
"""
Initialize a label lis... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/post_process/model_outputs/threshold_process_max.py | 0.95202 | 0.473596 | threshold_process_max.py | pypi |
from typing import Sequence, NoReturn, Tuple
class LogitsProcess(object):
"""
Process the output of the model forward pass. The forward pass will return the predictions
(e.g the logits), labels if present. We process the output and return the processed
values based on the application. This script we r... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/post_process/model_outputs/logits_process.py | 0.947588 | 0.8308 | logits_process.py | pypi |
from typing import Sequence
from .argmax_process import ArgmaxProcess
from .crf_argmax_process import CRFArgmaxProcess
from .logits_process import LogitsProcess
from .threshold_process_max import ThresholdProcessMax
from .threshold_process_sum import ThresholdProcessSum
class PostProcessPicker(object):
"""
T... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/post_process/model_outputs/post_process_picker.py | 0.941419 | 0.31883 | post_process_picker.py | pypi |
from typing import Sequence, NoReturn, Tuple
import numpy as np
from scipy.special import softmax
from .utils import check_consistent_length
class ThresholdProcessSum(object):
"""
"""
def __init__(self, label_list: Sequence[str], threshold: float) -> NoReturn:
"""
Initialize a label lis... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/post_process/model_outputs/threshold_process_sum.py | 0.951165 | 0.468912 | threshold_process_sum.py | pypi |
import numpy as np
from typing import Sequence, NoReturn, Tuple
from .utils import check_consistent_length
class ArgmaxProcess(object):
"""
Process the output of the model forward pass. The forward pass will return the predictions
(e.g the logits), labels if present. We process the output and return the ... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/post_process/model_outputs/argmax_process.py | 0.933119 | 0.723725 | argmax_process.py | pypi |
from typing import Mapping, Sequence, List, Union, Optional, NoReturn
from datasets import Dataset
from transformers import PreTrainedTokenizerFast, PreTrainedTokenizer
class DatasetTokenizer(object):
"""
The main goal of this class is to solve the problem described below.
Most of the comments have been c... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/dataset_builder/dataset_tokenizer.py | 0.944087 | 0.856032 | dataset_tokenizer.py | pypi |
from typing import List, Sequence, Mapping, Optional, NoReturn, Dict, Union
from .ner_labels import NERLabels
class LabelMapper(object):
"""
This class is used to map one set of NER labels to another set of NER labels
For example we might want to map all NER labels to Binary HIPAA labels.
E.g:
We ... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/dataset_builder/label_mapper.py | 0.935817 | 0.696541 | label_mapper.py | pypi |
from typing import Sequence, List, NoReturn, Dict
class NERLabels(object):
"""
Prepare the labels that will be used by the model. Parse the NER types
and prepare the NER labels. For example - NER Types: [AGE, DATE],
it will create a list like this (for BIO notation) [B-AGE, I-AGE, B-DATE, I-DATE, O]
... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/dataset_builder/ner_labels.py | 0.904695 | 0.680049 | ner_labels.py | pypi |
from typing import Sequence, Optional, NoReturn
from datasets import load_dataset, Dataset
class NERDataset(object):
"""
This class is a wrapper around the huggingface datasets library
It maintains the train, validation and test datasets based on the
train, validation and test files passed by loading... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/dataset_builder/ner_dataset.py | 0.936641 | 0.830388 | ner_dataset.py | pypi |
from typing import Dict, NoReturn
from transformers import AutoConfig, AutoModelForTokenClassification
class ModelPicker(object):
"""
This class is used to pick the model we are using to train.
The class provides functions that returns the desired model objects
i.e get the desired model for training ... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/models/hf/model_picker.py | 0.916463 | 0.374848 | model_picker.py | pypi |
from typing import Sequence, Tuple, Dict, NoReturn, Mapping, Union, Type
from seqeval.scheme import IOB1, IOB2, IOBES, BILOU
class MetricsCompute(object):
"""
This is the evaluation script which is passed to the huggingface
trainer - specifically the compute_metrics function. The trainer uses
this fu... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/evaluation/metrics_compute.py | 0.945286 | 0.643609 | metrics_compute.py | pypi |
from typing import Sequence, List, Optional, Type, Union, Mapping, Dict
# This script uses the two other scripts note_sequence_evaluation.py
# and note_token_evalaution.py to gather the span level and token
# level metrics during the evaluation phase in the huggingface
# training process. More information on how this ... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/evaluation/note_evaluation/note_evaluation.py | 0.959126 | 0.682402 | note_evaluation.py | pypi |
from collections import Counter
from typing import Sequence, List, Tuple, Union, Type, Optional
from seqeval.reporters import DictReporter
from sklearn.metrics import precision_score, recall_score, f1_score, confusion_matrix
class NoteTokenEvaluation(object):
"""
This class is used to evaluate token level pr... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/evaluation/note_evaluation/note_token_evaluation.py | 0.953977 | 0.664418 | note_token_evaluation.py | pypi |
import re
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.metrics import ConfusionMatrixDisplay
class ResultsFormatter(object):
@staticmethod
def get_results_df(results):
def change_column_names(group):
group.rename(columns=lambda name: re.sub('(.*_)... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/sequence_tagging/evaluation/results/results_formatter.py | 0.722625 | 0.28452 | results_formatter.py | pypi |
import json
import re
from argparse import ArgumentParser
from typing import Sequence, List, Tuple, Mapping, Union, Any, Type
import regex
from seqeval.scheme import IOB1, IOB2, IOBES, BILOU, Entities
from .utils import remove, replace_tag_type, replace_informative
class TextDeid(object):
def __init__(self, no... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/deid/text_deid.py | 0.775775 | 0.257753 | text_deid.py | pypi |
import json
import pandas as pd
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from typing import Sequence, Dict, Iterable, Union, NoReturn, Optional
class DataLoader(object):
"""
Convert parquet file to jsonl file. While some of the columns in the parquet file will
be directly used as... | /robust_deid-0.3.1.tar.gz/robust_deid-0.3.1/src/robust_deid/data_processing/data_loader.py | 0.876357 | 0.656892 | data_loader.py | pypi |
from urlparse import urljoin
from collections import OrderedDict
from .http import HttpClient
def average(values):
return float(sum(values)) / len(values)
class GraphiteClient(HttpClient):
'''
A simple client for querying Graphite.
:param endpoint: the Graphite URL;
:param min_queries_range:
... | /robust-graphite-client-1.1.0.tar.gz/robust-graphite-client-1.1.0/robgracli/client.py | 0.900026 | 0.585338 | client.py | pypi |
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing... | /robust_json-1.2.7-py3-none-any.whl/robust_json/ext/get_item_index.py | 0.895916 | 0.60095 | get_item_index.py | pypi |
import numpy as np
from sklearn.utils import resample
def RWP(X, orig_cov, with_diag=False):
"""
Robust Wasserstein Profile function.
Parameters
----------
X : ndarray of shape (n_samples, n_features)
Data from which to compute the covariance estimate from bootrap sample.
orig_cov: ndar... | /robust_selection-0.0.8-py3-none-any.whl/robsel/robsel.py | 0.923545 | 0.769535 | robsel.py | pypi |
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