# Pandas ML Quant
The Pandas Machine Learning Quant module is not only a pure python reimplementation of the famous
[TA-Lib](http://mrjbq7.github.io/ta-lib/). There are also useful tools to plot data as well as to
train neural networks while you never need to leave the world of pandas.
## Installation
Follow the instructions on [https://github.com/KIC/pandas-ml-quant](https://github.com/KIC/pandas-ml-quant)
## Documentation
Check out the notebooks at [https://github.com/KIC/pandas-ml-quant/blob/master/notebooks](https://github.com/KIC/pandas-ml-quant/blob/master/notebooks)
pandas-ml-quant-0.1.8.tar.gz （93个子文件） 
pandas-ml-quant-0.1.8 
setup.py 1KB PKG-INFO 1KB pandas_ml_quant.egg-info 
SOURCES.txt 4KB top_level.txt 37B PKG-INFO 1KB requires.txt 291B dependency_links.txt 1B pandas_ml_quant_test __init__.py 0B test_component.py 476B test__utils.py 503B analysis __init__.py 0B forecast __init__.py 0B test_vorlatility.py 396B test_support_resistence.py 299B encoders __init__.py 0B test__normalization.py 1KB test__gaf_encoding.py 1KB test__candles.py 826B test__time.py 467B test__one_hot_encoding.py 3KB test_normalizer.py 326B indicators __init__.py 0B test__autogression.py 2KB test__features.py 7KB labels __init__.py 0B test__descrete.py 2KB test__continuous.py 0B model __init__.py 0B test_fnl_postprocessor.py 3KB trading __init__.py 0B test_transaction_log.py 3KB test_backtest.py 2KB strategy __init__.py 0B test_optimized.py 2KB pytorch __init__.py 0B test_time2vec.py 1KB test_custom_loss.py 3KB config.py 491B licence.txt 1KB requirements.txt 226B dev-requirements.txt 40B MANIFEST.in 9B setup.cfg 79B pandas_ml_quant utils.py 2KB __init__.py 1KB df __init__.py 0B technical_analysis.py 1KB plot.py 7KB analysis __init__.py 195B normalizer.py 3KB covariances.py 425B forecast __init__.py 48B support.py 6KB volatility.py 1010B backtest.py 2KB encoders __init__.py 179B candles.py 3KB volume.py 636B auto_regression.py 2KB time.py 761B resample.py 517B one_hot.py 791B gramian_angular_field.py 4KB indicators __init__.py 809B multi_object.py 4KB single_object.py 4KB labels __init__.py 71B discrete.py 4KB labels.py 1KB continuous.py 294B filters.py 3KB keras __init__.py 0B loss.py 4KB time_2_vec.py 3KB layers.py 4KB optimizer.py 9KB model __init__.py 124B summary __init__.py 179B binary_weighted_classification_summary.py 5KB backtest_summary.py 746B post_processed_features_and_labels.py 3KB rl_trading_agent.py 4KB plots __init__.py 1B trading __init__.py 0B transaction_log.py 5KB strategy __init__.py 0B optimized.py 4KB pytorch __init__.py 0B layers __init__.py 32B time_2_vec.py 1KB custom_loss __init__.py 29B soft_dtw.py 3KB Readme.md 587B资源评论
