Extend parameters of "model-recreate"
so that user can recreate model
with new model parameters.
implements blueprint recreate-model
Change-Id: I69b54511a08581f1045477d663163a0009f114f5
Instead of pointing to github, the homepage should point to
the launchpad of meteosclient until meteosclient document is
enabled.
Change-Id: I7a845b885a091484dd4654907c5251991ac81dcd
Add a "model-recreate" command to
recreate model with new datasets.
implements blueprint recreate-model
Change-Id: Ic4872552503d75e59f62407e87ff4880e5720a8e
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: Ifd6153621a960134e983be0d21fbc0a3a856840f
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: I4d54d789298f88251ddbd2dabab357318052cc40
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: Ic65fb8ba4eabdbd460d1f0c99fa2972cb64f3aa9
Enable to create learning without specifing experiment_id.
Currently, user must specify experiment_id and model_id
when creating learning-job.
However, meteso can find out experiment_id from model_id.
Change-Id: I0ba179424bc794469824c934ee3cd6988db70991