Metadata-Version: 2.1
Name: mlmodels
Version: 0.24.1
Summary: Generic model API, Model Zoo in Tensorflow, Keras, Pytorch, Hyperparamter search
Home-page: https://github.com/arita37/mlmodels
Author: Kevin Noel
Author-email: brookm291@gmail.com
License: UNKNOWN
Keywords: Machine Learning Interface library
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Environment :: Console
Classifier: Environment :: Web Environment
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: tensorflow (<2.0)
Requires-Dist: keras (<2.4.0)
Requires-Dist: torch (<1.0.0)
Requires-Dist: numpy
Requires-Dist: transformers
Requires-Dist: gluonts
Requires-Dist: autogluon
Requires-Dist: optuna
Requires-Dist: mlflow
Requires-Dist: torchtext
Requires-Dist: nltk
Requires-Dist: deepctr
Requires-Dist: pandas (<1.0)
Requires-Dist: scipy (>=1.3.0)
Requires-Dist: scikit-learn (==0.21.2)
Requires-Dist: numexpr (>=2.6.8)
Requires-Dist: sqlalchemy (>=1.3.8)
Requires-Dist: boto3 (==1.9.187)
Requires-Dist: toml
Requires-Dist: horovod (==0.16.2)



```

ml_models --do                    
    "testall"     :  test all modules inside model_tf
    "test"        :  test a certain module inside model_tf


    "model_list"  :  #list all models in the repo          
    "fit"         :  wrap fit generic m    ethod
    "predict"     :  predict  using a pre-trained model and some data
    "generate_config"  :  generate config file from code source


ml_optim --do
  "test"      :  Test the hyperparameter optimization for a specific model
  "test_all"  :  TODO, Test all
  "search"    :  search for the best hyperparameters of a specific model






Include models :


mlmodels.model_dev.ml_mosaic.py
mlmodels.model_dev.mytest.py


mlmodels.model_flow.mlflow_run.py


mlmodels.model_gluon.gluon_automl.py
mlmodels.model_gluon.gluon_deepar.py
mlmodels.model_gluon.gluon_ffn.py
mlmodels.model_gluon.gluon_prophet.py


mlmodels.model_keras.00_template.py
mlmodels.model_keras.01_deepctr.py
mlmodels.model_keras.02_cnn.py
mlmodels.model_keras.preprocess.py


mlmodels.model_rank.LambdaRank.py
mlmodels.model_rank.load_mslr.py
mlmodels.model_rank.metrics.py
mlmodels.model_rank.RankNet.py


mlmodels.model_sklearn.model.py


mlmodels.model_tch.cnn_classifier.py
mlmodels.model_tch.mlp.py
mlmodels.model_tch.nbeats.py
mlmodels.model_tch.sentence_transformer.py
mlmodels.model_tch.transformer_classifier.py


mlmodels.model_tf.10_encoder_vanilla.py
mlmodels.model_tf.11_bidirectional_vanilla.py
mlmodels.model_tf.12_vanilla_2path.py
mlmodels.model_tf.13_lstm_seq2seq.py
mlmodels.model_tf.14_lstm_attention.py
mlmodels.model_tf.15_lstm_seq2seq_attention.py
mlmodels.model_tf.16_lstm_seq2seq_bidirectional.py
mlmodels.model_tf.17_lstm_seq2seq_bidirectional_attention.py
mlmodels.model_tf.18_lstm_attention_scaleddot.py
mlmodels.model_tf.19_lstm_dilated.py
mlmodels.model_tf.1_lstm.py
mlmodels.model_tf.20_only_attention.py
mlmodels.model_tf.21_multihead_attention.py
mlmodels.model_tf.22_lstm_bahdanau.py
mlmodels.model_tf.23_lstm_luong.py
mlmodels.model_tf.24_lstm_luong_bahdanau.py
mlmodels.model_tf.25_dnc.py
mlmodels.model_tf.26_lstm_residual.py
mlmodels.model_tf.27_byte_net.py
mlmodels.model_tf.28_attention_is_all_you_need.py
mlmodels.model_tf.29_fairseq.py
mlmodels.model_tf.2_encoder_lstm.py
mlmodels.model_tf.3_bidirectional_lstm.py
mlmodels.model_tf.4_lstm_2path.py
mlmodels.model_tf.50lstm attention.py
mlmodels.model_tf.5_gru.py
mlmodels.model_tf.6_encoder_gru.py
mlmodels.model_tf.7_bidirectional_gru.py
mlmodels.model_tf.8_gru_2path.py
mlmodels.model_tf.9_vanilla.py
mlmodels.model_tf.access.py
mlmodels.model_tf.addressing.py
mlmodels.model_tf.autoencoder.py
mlmodels.model_tf.dnc.py


```









