Ejemplos de load_and_test en Python

Ejemplo n.º 1

Archivo: test_rest_api.py Proyecto: zerocurve/h2o-3

import test_metadata
test_metadata.test(a_node, pp)

import test_html
test_html.test(a_node, pp)

import test_cluster_sanity
test_cluster_sanity.test(a_node, pp, algos)

# Clean up old objects from the DKV, in case the cluster has been doing other things:
if h2o_test_utils.isVerbose(): print('Cleaning up old stuff. . .')
h2o_test_utils.cleanup(a_node)

import test_and_import_frames
datasets = test_and_import_frames.load_and_test(a_node, pp)

import test_models
test_models.build_and_test(a_node, pp, datasets, algos,
                           algo_additional_default_params)

# Metadata used to get corrupted, so test again
test_metadata.test(a_node, pp)

import test_predict_and_model_metrics
test_predict_and_model_metrics.test(a_node, pp)

import test_final_sanity
test_final_sanity.test(a_node, pp)

# TODO: use built_models

Ejemplo n.º 2

Archivo: test_rest_api.py Proyecto: AllCodeNoGyaan/h2o-3

import test_metadata
test_metadata.test(a_node, pp)

import test_html
test_html.test(a_node, pp)

import test_cluster_sanity
test_cluster_sanity.test(a_node, pp, algos)

# Clean up old objects from the DKV, in case the cluster has been doing other things:
if h2o_test_utils.isVerbose(): print('Cleaning up old stuff. . .')
h2o_test_utils.cleanup(a_node)

import test_and_import_frames
datasets = test_and_import_frames.load_and_test(a_node, pp)

import test_models
test_models.build_and_test(a_node, pp, datasets, algos, algo_additional_default_params)

# Metadata used to get corrupted, so test again
test_metadata.test(a_node, pp)  

import test_predict_and_model_metrics
test_predict_and_model_metrics.test(a_node, pp)

import test_final_sanity
test_final_sanity.test(a_node, pp)