DayF core  1.2.1.2
DayF (Decision at your Fingertips) is an AutoML freeware development framework that let developers works with Machine Learning models without any idea of AI, simply taking a csv dataset and the objective column
gdayf.core.adviserastar.AdviserAStar Member List

This is the complete list of members for gdayf.core.adviserastar.AdviserAStar, including all inherited members.

__init__(self, e_c, deep_impact=3, metric='train_accuracy', dataframe_name='', hash_dataframe='')gdayf.core.adviserastar.AdviserAStar
an_objective (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
analysis_recommendation_order (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
analysis_specific(self, dataframe_metadata, list_ar_metadata)gdayf.core.adviserbase.Adviser
analysisanomalies(self, dataframe_metadata, objective_column, amode)gdayf.core.adviserbase.Adviser
analysisclustering(self, dataframe_metadata, objective_column, amode)gdayf.core.adviserbase.Adviser
analysisnormal(self, dataframe_metadata, objective_column, amode)gdayf.core.adviserbase.Adviser
analysisparanoiac(self, dataframe_metadata, objective_column, amode)gdayf.core.adviserbase.Adviser
analysispoc(self, dataframe_metadata, objective_column, amode)gdayf.core.adviserbase.Adviser
analyzed_models (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
applicability(self, model_list, nrows, ncols)gdayf.core.adviserbase.Adviser
base_iteration(self, amode, dataframe_metadata, objective_column)gdayf.core.adviserbase.Adviser
base_specific(self, dataframe_metadata, list_ar_metadata)gdayf.core.adviserbase.Adviser
compare_vectors(vector1, vector2)gdayf.core.adviserbase.Adviser
dataframe_name (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
deep_impact (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
deepness (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviserstatic
deepness (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
excluded_models (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
generate_vectors(self, model, normalization_set)gdayf.core.adviserbase.Adviser
get_analysis_objective(self, dataframe_metadata, objective_column, atype=None)gdayf.core.adviserbase.Adviser
get_candidate_models(self, atype, amode, increment=1.0)gdayf.core.adviserbase.Adviser
get_cdistance(model)gdayf.core.adviserbase.Adviserstatic
get_combined_accuracy(model)gdayf.core.adviserbase.Adviserstatic
get_size_increment(self, df_metadata)gdayf.core.adviserbase.Adviser
get_test_accuracy(model)gdayf.core.adviserbase.Adviserstatic
get_test_r2(model)gdayf.core.adviserbase.Adviserstatic
get_test_rmse(model)gdayf.core.adviserbase.Adviserstatic
get_train_accuracy(model)gdayf.core.adviserbase.Adviserstatic
get_train_r2(model)gdayf.core.adviserbase.Adviserstatic
get_train_rmse(model)gdayf.core.adviserbase.Adviserstatic
hash_dataframe (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
is_executed(self, vector)gdayf.core.adviserbase.Adviser
load_frameworks(self)gdayf.core.adviserbase.Adviser
metric (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
next_analysis_list (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser
optimize_models(self, armetadata)gdayf.core.adviserastar.AdviserAStar
priorize_models(self, model_list)gdayf.core.adviserbase.Adviser
safe_append(self, model_list, model)gdayf.core.adviserbase.Adviser
set_recommendations(self, dataframe_metadata, objective_column, amode=POC, atype=None)gdayf.core.adviserbase.Adviser
timestamp (defined in gdayf.core.adviserbase.Adviser)gdayf.core.adviserbase.Adviser