Metadata-Version: 2.1
Name: mlmodels
Version: 0.19.1
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



```
ml_models --do  
    "model_list"  :  list all models in the repo                            
    "testall"     :                                 
    "test"        :
    "fit"         :
    "predict"     :
    "generate_config"  :


ml_optim --do
    "test"  
    "test_all"  
    "search"  



Include models :


encoder_vanilla
bidirectional_vanilla
vanilla_2path
lstm_seq2seq
lstm_attention
lstm_seq2seq_attention
lstm_seq2seq_bidirectional
lstm_seq2seq_bidirectional_attention
lstm_attention_scaleddot
lstm_dilated
lstm.py models 
only_attention
multihead_attention
lstm_bahdanau
lstm_luong
lstm_luong_bahdanau
dnc
lstm_residual
byte_net
attention_is_all_you_need
fairseq
encoder_lstm
bidirectional_lstm
lstm_2path
lstm attention
gru
encoder_gru
bidirectional_gru
gru_2path
vanilla
autoencoder
nbeats  time series
deepar time series



```




