Exemple #1
0
def main():
    print("Hello master !")
    os.makedirs(DIRECTORY, exist_ok=True)
    set_plot_config()

    features()

    explore_links()
Exemple #2
0
def main():
    logger = set_logger()
    logger.info("Hello world !")
    os.makedirs(DIRECTORY, exist_ok=True)
    set_plot_config()
    args = None

    config = Config()
    results = [run(args, i_cv) for i_cv in range(N_ITER)]
    results = pd.concat(results, ignore_index=True)
    results.to_csv(os.path.join(DIRECTORY, 'results.csv'))
    # EVALUATION
    eval_table = evaluate_estimator(config.TRUE.interest_parameters_names, results)
    print_line()
    print_line()
    print(eval_table)
    print_line()
    print_line()
    eval_table.to_csv(os.path.join(DIRECTORY, 'evaluation.csv'))
    gather_images(DIRECTORY)
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from __future__ import unicode_literals

# Command line :
# python -m benchmark.AP1.explore

import os
import numpy as np

import matplotlib.pyplot as plt
import seaborn as sns

from visual import set_plot_config
set_plot_config()

from config import SAVING_DIR

from problem.apples_and_pears.generator import Generator

from visual.likelihood import plot_param_around_min

DATA_NAME = 'AP1'
BENCHMARK_NAME = DATA_NAME
DIRECTORY = os.path.join(SAVING_DIR, BENCHMARK_NAME, "explore")


def main():
    print('hello')
    generator = Generator(apple_center=7,