Wheelodex » Projects » keras-batchflow

keras-batchflow

View on PyPI — Reverse Dependencies (0)

0.1.7 keras_batchflow-0.1.7-py3-none-any.whl

Wheel Details

Project: keras-batchflow
Version: 0.1.7
Filename: keras_batchflow-0.1.7-py3-none-any.whl
Download: [link]
Size: 29840
MD5: fc0ea9aa66f881aa6b88bbc2591c4842
SHA256: 0742b76db8673968e4d073f520aaf58e5da2a4b333b6644adff5d16976256915
Uploaded: 2023-12-29 11:29:09 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: keras-batchflow
Version: 0.1.7
Summary: Batch generation framework for Keras
Author: Maxim Scherbak
Author-Email: maxim.scherbak[at]gmail.com
Home-Page: https://github.com/maxsch3/batchflow
Download-Url: https://github.com/maxsch3/batchflow
License: MIT
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: numpy (>=1.20.0)
Requires-Dist: scikit-learn
Requires-Dist: pandas (>=2.0.0)
Requires-Dist: pytest; extra == "tests"
Requires-Dist: markdown; extra == "tests"
Requires-Dist: pydot (>=1.2.4); extra == "visualize"
Provides-Extra: tests
Provides-Extra: visualize
License-File: LICENSE
[Description omitted; length: 196 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
keras_batchflow/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_batchflow/base/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_batchflow/base/batch_generators/__init__.py sha256=0Lm6-kcED8PpHL1PccTK1GcNs2N9lf-2aLgjUosfiwU 97
keras_batchflow/base/batch_generators/batch_generator.py sha256=ux71cYtqY7sxm6nLnBbANJaddywGjd9hhcIUKXXqqWU 6619
keras_batchflow/base/batch_generators/triplet_pk_generator.py sha256=pokOxwbBdzN1DC5UzjKbKRumS_g6OtMGxoR8DUdYRVs 1680
keras_batchflow/base/batch_shapers/__init__.py sha256=vjTR-aStx3jQzkfMibzUqSofPRh4epCWR-WQvub5qO0 195
keras_batchflow/base/batch_shapers/batch_shaper.py sha256=aoJXktpzRbIjzXf71a7J66C4zQG5lbwuVgHjsoI95Rs 9209
keras_batchflow/base/batch_shapers/encoder_adaptor.py sha256=hi7bp7Zq2npd5RmTABRpdEIk2GOvSOTI_FX02SR0SDU 1162
keras_batchflow/base/batch_shapers/numpy_encoder_adaptor.py sha256=1Iy49rslbEfTxGVPr0D2dabkaO_pT8Z9txm8OpKB_CQ 1368
keras_batchflow/base/batch_shapers/pandas_encoder_adaptor.py sha256=WPB0ktnFgqvXywEc1IChUXm-hHztuT1es_61FLZS62I 990
keras_batchflow/base/batch_shapers/var_shaper.py sha256=WAtL3jLFGi-q_WW9mTR_wAROqeKZfQzFA6Mo2xEAqAk 11797
keras_batchflow/base/batch_transformers/__init__.py sha256=-TfoHL5CleHK30F5_LNrSOR3R62dtMx-KtIq_NV3YxE 220
keras_batchflow/base/batch_transformers/base_random_cell.py sha256=SqgRiNUeyPXCc0HTLyY7GWjz_XXJweJg1YnoNUHswTU 15301
keras_batchflow/base/batch_transformers/batch_fork.py sha256=YJCb5sh_JyeHUcrohCzkheb1AEYONuCeKffPSYw1W8M 699
keras_batchflow/base/batch_transformers/batch_transformer.py sha256=yc9fsm04w8XYP2X6b9-1qW7INVJnTfza6Ld5N6l98eQ 363
keras_batchflow/base/batch_transformers/feature_dropout.py sha256=hBoY9J_D6DN4b39CDohbyxE3FFfsdGCYNc8jKXAD1D4 3385
keras_batchflow/base/batch_transformers/shuffle_noise.py sha256=CUu-vtLuhu0onsRh0gpx58mgoL2WiKgTW6AL1yqqJkQ 2126
keras_batchflow/base/encoders/__init__.py sha256=Fcvwcq7nHqol1EBXYx-6cGiTEQL0o3K7vrbPmwG94JY 83
keras_batchflow/base/encoders/base_encoder.py sha256=czlTQm561ObZ7LQU6rndxQsOzMy0jLrH5u7YM_1MM5g 517
keras_batchflow/base/encoders/identity_encoder.py sha256=ha05jUkrcIe8LjjpyYIP07cAtfbzuMgL9cmXBEl_Db8 326
keras_batchflow/keras/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_batchflow/keras/batch_generators/__init__.py sha256=0Lm6-kcED8PpHL1PccTK1GcNs2N9lf-2aLgjUosfiwU 97
keras_batchflow/keras/batch_generators/batch_generator.py sha256=i0jODqKXXYPYbLopv2J_X8rZ29EgIG9VO2knexnWUsU 358
keras_batchflow/keras/batch_generators/triplet_pk_generator.py sha256=5iDbaVHMcQpS55_EroObnONuXA0HKHO4bHQk7nBuZNs 612
keras_batchflow/keras/batch_shapers/__init__.py sha256=yzq0-elOM27NpJuyFfDFi-Ui9hvCL57ryP73FWFokjY 257
keras_batchflow/keras/batch_transformers/__init__.py sha256=0iw5vRcfxRbkRe4iHX8-qC21QfcZAuxHxI9mqUb-dNY 161
keras_batchflow/keras/encoders/__init__.py sha256=PP3PuOTYAlMPsJxPHZRjLUfVkfsh_JK8z5-DTNnj9r4 70
keras_batchflow/tf/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
keras_batchflow/tf/batch_generators/__init__.py sha256=0Lm6-kcED8PpHL1PccTK1GcNs2N9lf-2aLgjUosfiwU 97
keras_batchflow/tf/batch_generators/batch_generator.py sha256=-Q9WpAESehvwEY93KdwGy2fmOphYLhLi6WmCZWceNbs 363
keras_batchflow/tf/batch_generators/triplet_pk_generator.py sha256=Yj7O0q1V_mOsPMUItbp3Ps9GUELMKa5pD1IoSTgnQ58 639
keras_batchflow/tf/batch_shapers/__init__.py sha256=j7ZzhqtPbA9bFoyM2qg9Q1NG8xuQNI___fTeLA8Egjs 256
keras_batchflow/tf/batch_transformers/__init__.py sha256=0iw5vRcfxRbkRe4iHX8-qC21QfcZAuxHxI9mqUb-dNY 161
keras_batchflow/tf/encoders/__init__.py sha256=PP3PuOTYAlMPsJxPHZRjLUfVkfsh_JK8z5-DTNnj9r4 70
keras_batchflow-0.1.7.dist-info/LICENSE sha256=YZSfe0CyeD8bwR2xIYSoS4iOQX0agtlzOX7A7A2JPTc 1311
keras_batchflow-0.1.7.dist-info/METADATA sha256=FSTUHzgBHeormxf9QoDleXwZFR2WC4K25XmoqPCSdEQ 1233
keras_batchflow-0.1.7.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
keras_batchflow-0.1.7.dist-info/top_level.txt sha256=P86aa5eQ7Gxf83KR27hmdk3r1mBPT7EJSkQlOTTQ5Z8 16
keras_batchflow-0.1.7.dist-info/RECORD — —

top_level.txt

keras_batchflow