wayneking517

Hi Henry, I loaded TODS using pycharm-> preferences -> Python Interpreter -> add tods 0.0.2 I do not know how to give you the branch info. I am running Python...

> Hi Wayne, > > As M1 chip is relative new, many dependencies of TODS such as numpy, tensorflow are not supporting it. We are now working on it to...

Thank you for you answer. I found the tpot_config file example at https://www.gitmemory.com/issue/EpistasisLab/tpot/1186/801378125. I have made the recommended changes. ``` tpot_config = { 'sklearn.gaussian_process.GaussianProcessRegressor': { 'kernel': [1.0*RBF(length_scale=0.5, length_scale_bounds=(1e-05, 100000.0)), 1.0*RationalQuadratic(length_scale=0.5,...

Here is my code: ``` from sklearn.gaussian_process.kernels import Matern, WhiteKernel, ConstantKernel, RationalQuadratic, \ Exponentiation, RBF, ExpSineSquared, DotProduct from sklearn.gaussian_process import GaussianProcessRegressor X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.22, random_state=2)...

Thank you. To get this to work, I had to replace each instance of "guassian_config" with "c" (our choose your own variable.) ``` # Average CV score on the training...

I've tried to tune up the GP model using TPot. The optimized model is: ``` exported_pipeline = GaussianProcessRegressor(alpha=0.01, kernel=1**2 * ExpSineSquared(length_scale=0.5, periodicity=3), normalize_y=False, optimizer="fmin_l_bfgs_b") ``` When I invoke the regressor...

Give this a try: ``` my_dict = list(tpot.evaluated_individuals_.items()) model_scores = pd.DataFrame() for model in my_dict: model_name = model[0] model_info = model[1] cv_score = model[1].get('internal_cv_score') # Pull out cv_score as a...

I'd like to re-ask the original question. How can one output information about performance of different solvers (perhaps visualizing ranges, colored scatter plots, etc.) and the impact of different parameters...