def check_kmeans_cluster_all_data(new_df):
# print("working on: ", new_df.head().T)
# new_df = pd.DataFrame([user_data_list], columns = col_list)
# user_dataframe = pd.DataFrame.from_records((json_user_obj), index=[0])
# new_df = user_dataframe[col_list].copy()
processed_df = preprocessing_encoding.preprocess_data(new_df)
if (str(processed_df) == '-1'):
# print("RETURNING")
return -1
final_membership_values_all = get_membership(processed_df, 2)
final_scaled_membership_values_all = get_levels.get_ind_levels(
final_membership_values_all)
distance_min, min_cluster_index = get_levels.apply_kmeans(
final_scaled_membership_values_all)
# print(get_output(json_user_obj,final_membership_values_all,final_scaled_membership_values_all,min_cluster_index))
return get_output_all_data(new_df['Email Address'],
final_membership_values_all,
final_scaled_membership_values_all,
min_cluster_index)
def check_kmeans_cluster(user_data_json):
# print("*******", user_data_json)
user_data_json = user_data_json.replace("\"extensively\"", "extensively")
json_user_obj = json.loads(user_data_json)
# print(str(json_user_obj))
#
# json_user_obj['Have you been "extensively" involved in the following? [ML/AI Projects or Research]'] = json_user_obj.pop('Have you been extensively involved in the following? [ML/AI Projects or Research]')
# json_user_obj['Have you been "extensively" involved in the following? [Social Activities (College Fest Organization or similar managerial or club activities)]'] = json_user_obj.pop('Have you been extensively involved in the following? [Social Activities (College Fest Organization or similar managerial or club activities)]')
# json_user_obj['Have you been "extensively" involved in the following? [Literature/Blogging ]'] = json_user_obj.pop('Have you been extensively involved in the following? [Literature/Blogging ]')
# json_user_obj['Have you been "extensively" involved in the following? [Competitive Coding]'] = json_user_obj.pop('Have you been extensively involved in the following? [Competitive Coding]')
# json_user_obj['Have you been "extensively" involved in the following? [Mathematics and Logical Reasoning]'] = json_user_obj.pop('Have you been extensively involved in the following? [Mathematics and Logical Reasoning]')
# json_user_obj['Have you been "extensively" involved in the following? [Sodtware Development]'] = json_user_obj.pop('Have you been extensively involved in the following? [Sodtware Development]')
user_dataframe = pd.DataFrame.from_records((json_user_obj), index=[0])
new_df = user_dataframe[col_list].copy()
# print("******************")
# print(new_df.head().T)
processed_df = preprocessing_encoding.preprocess_data(new_df)
final_membership_values_all = get_membership(processed_df, 2)
final_scaled_membership_values_all = get_levels.get_ind_levels(
final_membership_values_all)
distance_min, min_cluster_index = get_levels.apply_kmeans(
final_scaled_membership_values_all)
# print(get_output(json_user_obj,final_membership_values_all,final_scaled_membership_values_all,min_cluster_index))
return get_output(json_user_obj, final_membership_values_all,
final_scaled_membership_values_all, min_cluster_index)