Time series class added

BackEnd/time_series_models_builder.py

+# -*- coding: utf-8 -*-
+"""time_series_model_builder.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1AWprgehWA_xbBKM_Lr1rWc6wv2BxIhAZ
+
+##Class
+"""
+
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+color_pal = sns.color_palette()
+plt.style.use('fivethirtyeight')
+import xgboost as xgb
+from sklearn.metrics import mean_squared_error
+
+class TimeSeriesModel:
+  def __init__(self , dataset_link , model_name):
+   
+
+    self.dataset_link = dataset_link
+    self.model_name = model_name
+    self.train_test_split_date = '2021-08.-01'
+    self.feature_dataframes  = {}
+    self.feature_train_dataframes = {}
+    self.features_test_dataframes = {}
+    self.train = None
+    self.test =  None
+    self.ts_models = {}
+    self.model_x_tests = {}
+
+
+    print(" =========== {} Object Instantiated ===========".format(self.model_name))
+
+  def set_details(self , split_date):
+    '''
+      Provide the Date in format YYYY-MM-DD as a String
+      Example :- '2021-08.-01'
+    '''
+    self.train_test_split_date = split_date
+    
+  
+  def read_data_to_df(self):
+    import pandas as pd
+    df =  tempDF = pd.read_excel(self.dataset_link)
+    self.df = df
+    print(" =========== Data Stored In a Pandas DataFrame ===========)")
+    print(" Number of Rows --> {}".format(df.shape[0]))
+    print(" Number of Columns --> {}".format(df.shape[1]))
+  
+  def handle_invalid_values(self):
+    '''Convert all No  Numeric Values to Nan '''
+    import pandas as pd
+
+    for column in self.df.columns[1:]:
+
+      self.df[column] = pd.to_numeric(self.df[column] , errors = 'coerce')
+    print(" =========== Non Numeric Values Set to Nan ===========")
+  
+  
+  
+  
+
+ 
+
+  
+    
+  
+
+ 
+  
+ 
\ No newline at end of file

README.md

@@ -73,7 +73,11 @@ Because of this, the gardener does not need to keep an eye on his crops constant
 Here, by installing speakers at selected locations around the gardening, the security camera system can identify the relevant animal and 
 emit sounds necessary to drive away the relevant animal.
 (Ex: making a blast sound to drive away animals like peacocks, monkeys, and pigs and making the sound of bees to drive away wild elephants)
+<<<<<<< HEAD
 This measure will be able to reduce the damage caused to crops, especially by animals like elephants, peacocks, monkeys, cows and 
+=======
+This measure will be able to reduce the damage caused to crops, especially by animals like elephants, peacocks, monkeys, cows
+>>>>>>> 2a73121ebbda9d8040172a86c2353eb1ec34d682