| 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.Adviser | static
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.Adviser | static
get_combined_accuracy(model) | gdayf.core.adviserbase.Adviser | static
get_size_increment(self, df_metadata) | gdayf.core.adviserbase.Adviser |
get_test_accuracy(model) | gdayf.core.adviserbase.Adviser | static
get_test_r2(model) | gdayf.core.adviserbase.Adviser | static
get_test_rmse(model) | gdayf.core.adviserbase.Adviser | static
get_train_accuracy(model) | gdayf.core.adviserbase.Adviser | static
get_train_r2(model) | gdayf.core.adviserbase.Adviser | static
get_train_rmse(model) | gdayf.core.adviserbase.Adviser | static
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 |