Difference between revisions of "Meteos/Howto"

Revision as of 00:59, 10 February 2017

This section explains what to do to increase the model accuracy.

Under Writing

step 1. Parse Dataset

Parsing dataset is one of the efficient way to increase model accuracy.

You can see example [here].

In this example, user eliminates exception data from dataset using filter method.

step 2. Tuning of model parameters

Parameter tuning is very important to increase the model accuracy. Parameters differs depending on prediction models.

(List of Parameters will be pasted here later.)

A "numIterations" is a common parameter except model.

A numIterations is a number of iterations run for each batch of data.

In general, you can increase the model accuracy by specifying larger number in numIterations. However, it takes more time for creating model.

You can specify model parameters in "model_params" section when creating model.

step 3. Evaluate model accuracy

After creating prediction model, you can evaluate model using "meteos model-evaluation-create" method.

step 4. Recreate model with new dataset

it's desirable for prediction models to increase the accuracy continuously.

you can re-create model with new datasets using "meteos model-recreate" method.