def test_merge_configuration():
""" Test merging two simple configurations works as expected. """
one = {"alpha": [0, 1], BernoulliNB: {"fit_prior": [True, False]}}
two = {"alpha": [0, 2], GaussianNB: {"fit_prior": [True, False]}}
expected_merged = {
"alpha": [0, 1, 2],
GaussianNB: {
"fit_prior": [True, False]
},
BernoulliNB: {
"fit_prior": [True, False]
},
}
actual_merged = merge_configurations(one, two)
assert expected_merged == actual_merged
import os
from datetime import datetime, timedelta
from typing import List, Tuple, Dict
import pandas as pd
from gama.configuration.classification import clf_config
from gama.configuration.parser import pset_from_config, merge_configurations
from gama.configuration.regression import reg_config
from gama.genetic_programming.components import Individual
pset, _ = pset_from_config(merge_configurations(clf_config, reg_config))
class GamaReport:
""" Contains information parsed from a search captured by a GAMA analysis log. """
def __init__(self, log_directory: str):
""" Parse the logfile or log lines provided.
Parameters
----------
log_directory: str
The directory with logs:
- gama.log
- evaluations.log
- resources.log
"""
self._log_directory = os.path.expanduser(log_directory)
self.name = os.path.split(log_directory)[-1]
self.phases: List[Tuple[str, str, datetime, float]] = []
self._last_tell = 0