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A prototype framework for developing multi-step machine learnings.

Home Page: https://utokyo-icepp.github.io/multiml-doc/

License: Apache License 2.0

Python 100.00%
deep-learning differentiable-programming keras machine-learning multi-step pytorch

multiml's People

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multiml's Issues

Improve definition of var_names for retrieving data from StoreGate

Improve the definition of var_names argument of get_data() method as follows:

var_names                     returned data type and shape
('var0', 'var')            -> ndarray (2, k)
['var0', 'var']            -> [ndarray (k), ndarray (k)]
[('var0', 'var1'), 'var2'] -> [ndarray (2, k) ndarray (k)]

k = arbitrary data shape

User defined keras callbacks

The current KerasBaseTask class cannot be flexibly changed Keras callbacks by users. We need to modify the class so that the callbacks can be changed flexibly.

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