Ejemplos de load_gdsc_ic50_integer en Python

Ejemplo n.º 1

Archivo: gaussian_exponential.py Proyecto: changchunli/BMF_Priors

'''
Measure convergence on the GDSC drug sensitivity dataset, with the Gaussian +
Exponential model.
'''

import sys, os
project_location = os.path.dirname(__file__) + "/../../../../"
sys.path.append(project_location)

from BMF_Priors.code.models.bmf_gaussian_exponential import BMF_Gaussian_Exponential
from BMF_Priors.data.drug_sensitivity.load_data import load_gdsc_ic50_integer
from BMF_Priors.experiments.convergence.convergence_experiment import measure_convergence_time

import matplotlib.pyplot as plt
''' Run the experiment. '''
R, M = load_gdsc_ic50_integer()
model_class = BMF_Gaussian_Exponential
settings = {
    'R': R,
    'M': M,
    'K': 20,
    'hyperparameters': {
        'alpha': 1.,
        'beta': 1.,
        'lamb': 0.1
    },
    'init': 'random',
    'iterations': 200,
}
fout_performances = './results/performances_gaussian_exponential.txt'
fout_times = './results/times_gaussian_exponential.txt'

Ejemplo n.º 2

Archivo: poisson_gamma.py Proyecto: changchunli/BMF_Priors

Gamma model.
'''

import sys, os
project_location = os.path.dirname(__file__)+"/../../../../"
sys.path.append(project_location)

from BMF_Priors.code.models.bmf_poisson_gamma import BMF_Poisson_Gamma
from BMF_Priors.data.drug_sensitivity.load_data import load_gdsc_ic50_integer
from BMF_Priors.experiments.convergence.convergence_experiment import measure_convergence_time

import matplotlib.pyplot as plt


''' Run the experiment. '''
R, M = load_gdsc_ic50_integer()
model_class = BMF_Poisson_Gamma
settings = {
    'R': R, 
    'M': M, 
    'K': 20, 
    'hyperparameters': { 'a':1., 'b':1. }, 
    'init': 'random', 
    'iterations': 200,
}
fout_performances = './results/performances_poisson_gamma.txt'
fout_times = './results/times_poisson_gamma.txt'
repeats = 10
performances, times = measure_convergence_time(
    repeats, model_class, settings, fout_performances, fout_times)