Extend parameters of "model-recreate"
so that user can recreate model
with new model parameters.
implements blueprint recreate-model
Change-Id: I703b8d729cfd0d250b143e902100017596327f59
it's desirable for prediction models
to increase their accuracy continuously.
Add a "model-recreate" command to
recreate model with new datasets.
implements blueprint recreate-model
Change-Id: Ib69bcf9df0de38b5d31c338d09cf13b9b6a8e144
In machine learning, user splits the dataset in general.
One is for creating a prediction model,
the other is for evaluating model.
Add a split dataset command to make it possible.
implements blueprint split-dataset
Change-Id: Idb323a1240d790d5628f9eb31cba8d3a29ad64e8
In Machine Learning,
Prediction model needs to be evaluated accuracy.
Add a "meteos model-evaluation" command to allow users
to evaluate their models which they created.
implements blueprint evaluate-model
Change-Id: I35b9322d423a224311541f940ecf985870d7c396
This patch allows user to load a Prediction Model
in advance for online prediction.
In online prediction,
user can retrieve a predicted data immediately.
implements blueprint online-prediction
Change-Id: I03c3a1fe3cd5bbc09116729647c2efd508259987
Enable to create learning without specifing experiment_id.
Currently, user must specify experiment_id and model_id
when creating learning-job.
However, meteos can find out experiment_id from model_id.
Change-Id: I7cdb53f09b493c5c86637f89e7bdc12245f5f8da
Jenkins