Ikki Tanaka

Now, this library support Python2 only. Python3 support is needed to enhance usability.

Now path is defined using slash `/` like ``` python PATH = "foo/" PATH + 'hoge' ``` , but it seems good to use `os.path.join` like ``` python import os...

Training and test data are now loaded at the beginning of model building. However, it is not time-efficient if the data is very large. So, if the data used is...

Current possible data format is only `.csv` file. But more format are desirable. For example, `.npy`, `.zip`, `.gz`, and more.

BaseModel should have evaluation score of CV after training. ``` python m.run() m.score ``` ``` Fold1: 0.234 Fold2: 0.323 Fold3: 0.233 ```

Refactor hard coding for stability in preparation for the version up of libraries, such as sklearn, keras, and XGBoost. Specifically, initialization of BaseModel class.

In Keras-implemented neural net, to avoid recompile, initial weights after compilation is saved and used at the next beginning of training in cross validation. However, the initial weights are same...

This is needed.

Comparison between stacking and other techniques should be taken. README of each example is needed to easily understand.