project_location = "/Users/thomasbrouwer/Documents/Projects/libraries/"
import sys
sys.path.append(project_location)
from BMF_Priors.code.models.baseline_average_row import RowAverage
from BMF_Priors.code.cross_validation.matrix_single_cross_validation import MatrixSingleCrossValidation
from BMF_Priors.data.methylation.load_data import load_gene_body_methylation_integer
''' Settings BMF model. '''
method = RowAverage
R, M = load_gene_body_methylation_integer()
hyperparameters = {}
train_config = {'iterations': 0, 'init': ''}
predict_config = {'burn_in': 0, 'thinning': 0}
parameters = {'K': 0, 'hyperparameters': hyperparameters}
''' Settings nested cross-validation. '''
no_folds = 5
folder_results = './results/baseline_average_row/'
output_file = folder_results + 'results.txt'
''' Run the cross-validation framework. '''
crossval = MatrixSingleCrossValidation(
method=method,
R=R,
M=M,
K=no_folds,
parameters=parameters,
train_config=train_config,
predict_config=predict_config,
file_performance=output_file,
)
crossval.run()
from BMF_Priors.code.cross_validation.matrix_single_cross_validation import MatrixSingleCrossValidation
from BMF_Priors.data.drug_sensitivity.load_data import load_ccle_ic50_integer
''' Settings BMF model. '''
method = ColumnAverage
R, M = load_ccle_ic50_integer()
hyperparameters = {}
train_config = { 'iterations': 0, 'init': '' }
predict_config = { 'burn_in': 0, 'thinning': 0 }
parameters = {'K':0, 'hyperparameters':hyperparameters}
''' Settings nested cross-validation. '''
no_folds = 5
folder_results = './results/baseline_average_column/'
output_file = folder_results+'results.txt'
''' Run the cross-validation framework. '''
crossval = MatrixSingleCrossValidation(
method=method,
R=R,
M=M,
K=no_folds,
parameters=parameters,
train_config=train_config,
predict_config=predict_config,
file_performance=output_file,
)
crossval.run()