-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
8 changed files
with
53,125 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,57 @@ | ||
import pandas as pd | ||
from sklearn.model_selection import train_test_split | ||
from sklearn.linear_model import LogisticRegression | ||
from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor | ||
from sklearn.metrics import accuracy_score | ||
import joblib | ||
import pickle | ||
|
||
# Step 1: Load data from Excel file | ||
data = pd.read_csv('input_data_weather.csv') | ||
# Step 2: Split data into training and testing sets | ||
X_train, X_test, y_train, y_test = train_test_split(data.drop('Zone 1 Power Consumption', axis=1), data['Zone 1 Power Consumption'], test_size=0.2, random_state=42) | ||
|
||
# Step 3: Define dictionary of algorithms | ||
algorithms = { | ||
'Logistic Regression': LogisticRegression(), | ||
'Random Forest': RandomForestRegressor() | ||
} | ||
|
||
# Step 4: Prompt user to choose algorithm | ||
print('Choose an algorithm:') | ||
for i, name in enumerate(algorithms.keys()): | ||
print(f'{i+1}. {name}') | ||
choice = int(input()) | ||
|
||
# Step 5: Train selected algorithm | ||
selected_algorithm = list(algorithms.values())[choice-1] | ||
selected_algorithm.fit(X_train, y_train) | ||
|
||
# Step 6: Test model on testing data | ||
predictions = selected_algorithm.predict(X_test) | ||
|
||
# Step 7: Display accuracy score | ||
#print(f'Accuracy: {accuracy_score(y_test, predictions)}') | ||
|
||
# Step 8: Save trained model to file | ||
with open('trained_model.pkl', 'wb') as f: | ||
pickle.dump(selected_algorithm, f) | ||
|
||
|
||
# loading of the ML Model | ||
model = joblib.load('trained_model.pkl') | ||
feature_names=model.feature_names_in_ | ||
|
||
# create an empty DataFrame to store input data | ||
input_data = pd.DataFrame(columns=feature_names) | ||
# Loop over the feature names and prompt the user for input | ||
for feature in feature_names: | ||
value = input(f"Enter {feature}: ") | ||
#input_data.append(float(value)) | ||
input_data.loc[0, feature] = value | ||
|
||
# use the trained model to make predictions | ||
prediction = model.predict(input_data) | ||
|
||
# print the predicted class | ||
print("Predicted class:", prediction[0]) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,151 @@ | ||
sepal length,sepal width,petal length,petal width,class | ||
5.1,3.5,1.4,0.2,Iris-setosa | ||
4.9,3,1.4,0.2,Iris-setosa | ||
4.7,3.2,1.3,0.2,Iris-setosa | ||
4.6,3.1,1.5,0.2,Iris-setosa | ||
5,3.6,1.4,0.2,Iris-setosa | ||
5.4,3.9,1.7,0.4,Iris-setosa | ||
4.6,3.4,1.4,0.3,Iris-setosa | ||
5,3.4,1.5,0.2,Iris-setosa | ||
4.4,2.9,1.4,0.2,Iris-setosa | ||
4.9,3.1,1.5,0.1,Iris-setosa | ||
5.4,3.7,1.5,0.2,Iris-setosa | ||
4.8,3.4,1.6,0.2,Iris-setosa | ||
4.8,3,1.4,0.1,Iris-setosa | ||
4.3,3,1.1,0.1,Iris-setosa | ||
5.8,4,1.2,0.2,Iris-setosa | ||
5.7,4.4,1.5,0.4,Iris-setosa | ||
5.4,3.9,1.3,0.4,Iris-setosa | ||
5.1,3.5,1.4,0.3,Iris-setosa | ||
5.7,3.8,1.7,0.3,Iris-setosa | ||
5.1,3.8,1.5,0.3,Iris-setosa | ||
5.4,3.4,1.7,0.2,Iris-setosa | ||
5.1,3.7,1.5,0.4,Iris-setosa | ||
4.6,3.6,1,0.2,Iris-setosa | ||
5.1,3.3,1.7,0.5,Iris-setosa | ||
4.8,3.4,1.9,0.2,Iris-setosa | ||
5,3,1.6,0.2,Iris-setosa | ||
5,3.4,1.6,0.4,Iris-setosa | ||
5.2,3.5,1.5,0.2,Iris-setosa | ||
5.2,3.4,1.4,0.2,Iris-setosa | ||
4.7,3.2,1.6,0.2,Iris-setosa | ||
4.8,3.1,1.6,0.2,Iris-setosa | ||
5.4,3.4,1.5,0.4,Iris-setosa | ||
5.2,4.1,1.5,0.1,Iris-setosa | ||
5.5,4.2,1.4,0.2,Iris-setosa | ||
4.9,3.1,1.5,0.1,Iris-setosa | ||
5,3.2,1.2,0.2,Iris-setosa | ||
5.5,3.5,1.3,0.2,Iris-setosa | ||
4.9,3.1,1.5,0.1,Iris-setosa | ||
4.4,3,1.3,0.2,Iris-setosa | ||
5.1,3.4,1.5,0.2,Iris-setosa | ||
5,3.5,1.3,0.3,Iris-setosa | ||
4.5,2.3,1.3,0.3,Iris-setosa | ||
4.4,3.2,1.3,0.2,Iris-setosa | ||
5,3.5,1.6,0.6,Iris-setosa | ||
5.1,3.8,1.9,0.4,Iris-setosa | ||
4.8,3,1.4,0.3,Iris-setosa | ||
5.1,3.8,1.6,0.2,Iris-setosa | ||
4.6,3.2,1.4,0.2,Iris-setosa | ||
5.3,3.7,1.5,0.2,Iris-setosa | ||
5,3.3,1.4,0.2,Iris-setosa | ||
7,3.2,4.7,1.4,Iris-versicolor | ||
6.4,3.2,4.5,1.5,Iris-versicolor | ||
6.9,3.1,4.9,1.5,Iris-versicolor | ||
5.5,2.3,4,1.3,Iris-versicolor | ||
6.5,2.8,4.6,1.5,Iris-versicolor | ||
5.7,2.8,4.5,1.3,Iris-versicolor | ||
6.3,3.3,4.7,1.6,Iris-versicolor | ||
4.9,2.4,3.3,1,Iris-versicolor | ||
6.6,2.9,4.6,1.3,Iris-versicolor | ||
5.2,2.7,3.9,1.4,Iris-versicolor | ||
5,2,3.5,1,Iris-versicolor | ||
5.9,3,4.2,1.5,Iris-versicolor | ||
6,2.2,4,1,Iris-versicolor | ||
6.1,2.9,4.7,1.4,Iris-versicolor | ||
5.6,2.9,3.6,1.3,Iris-versicolor | ||
6.7,3.1,4.4,1.4,Iris-versicolor | ||
5.6,3,4.5,1.5,Iris-versicolor | ||
5.8,2.7,4.1,1,Iris-versicolor | ||
6.2,2.2,4.5,1.5,Iris-versicolor | ||
5.6,2.5,3.9,1.1,Iris-versicolor | ||
5.9,3.2,4.8,1.8,Iris-versicolor | ||
6.1,2.8,4,1.3,Iris-versicolor | ||
6.3,2.5,4.9,1.5,Iris-versicolor | ||
6.1,2.8,4.7,1.2,Iris-versicolor | ||
6.4,2.9,4.3,1.3,Iris-versicolor | ||
6.6,3,4.4,1.4,Iris-versicolor | ||
6.8,2.8,4.8,1.4,Iris-versicolor | ||
6.7,3,5,1.7,Iris-versicolor | ||
6,2.9,4.5,1.5,Iris-versicolor | ||
5.7,2.6,3.5,1,Iris-versicolor | ||
5.5,2.4,3.8,1.1,Iris-versicolor | ||
5.5,2.4,3.7,1,Iris-versicolor | ||
5.8,2.7,3.9,1.2,Iris-versicolor | ||
6,2.7,5.1,1.6,Iris-versicolor | ||
5.4,3,4.5,1.5,Iris-versicolor | ||
6,3.4,4.5,1.6,Iris-versicolor | ||
6.7,3.1,4.7,1.5,Iris-versicolor | ||
6.3,2.3,4.4,1.3,Iris-versicolor | ||
5.6,3,4.1,1.3,Iris-versicolor | ||
5.5,2.5,4,1.3,Iris-versicolor | ||
5.5,2.6,4.4,1.2,Iris-versicolor | ||
6.1,3,4.6,1.4,Iris-versicolor | ||
5.8,2.6,4,1.2,Iris-versicolor | ||
5,2.3,3.3,1,Iris-versicolor | ||
5.6,2.7,4.2,1.3,Iris-versicolor | ||
5.7,3,4.2,1.2,Iris-versicolor | ||
5.7,2.9,4.2,1.3,Iris-versicolor | ||
6.2,2.9,4.3,1.3,Iris-versicolor | ||
5.1,2.5,3,1.1,Iris-versicolor | ||
5.7,2.8,4.1,1.3,Iris-versicolor | ||
6.3,3.3,6,2.5,Iris-virginica | ||
5.8,2.7,5.1,1.9,Iris-virginica | ||
7.1,3,5.9,2.1,Iris-virginica | ||
6.3,2.9,5.6,1.8,Iris-virginica | ||
6.5,3,5.8,2.2,Iris-virginica | ||
7.6,3,6.6,2.1,Iris-virginica | ||
4.9,2.5,4.5,1.7,Iris-virginica | ||
7.3,2.9,6.3,1.8,Iris-virginica | ||
6.7,2.5,5.8,1.8,Iris-virginica | ||
7.2,3.6,6.1,2.5,Iris-virginica | ||
6.5,3.2,5.1,2,Iris-virginica | ||
6.4,2.7,5.3,1.9,Iris-virginica | ||
6.8,3,5.5,2.1,Iris-virginica | ||
5.7,2.5,5,2,Iris-virginica | ||
5.8,2.8,5.1,2.4,Iris-virginica | ||
6.4,3.2,5.3,2.3,Iris-virginica | ||
6.5,3,5.5,1.8,Iris-virginica | ||
7.7,3.8,6.7,2.2,Iris-virginica | ||
7.7,2.6,6.9,2.3,Iris-virginica | ||
6,2.2,5,1.5,Iris-virginica | ||
6.9,3.2,5.7,2.3,Iris-virginica | ||
5.6,2.8,4.9,2,Iris-virginica | ||
7.7,2.8,6.7,2,Iris-virginica | ||
6.3,2.7,4.9,1.8,Iris-virginica | ||
6.7,3.3,5.7,2.1,Iris-virginica | ||
7.2,3.2,6,1.8,Iris-virginica | ||
6.2,2.8,4.8,1.8,Iris-virginica | ||
6.1,3,4.9,1.8,Iris-virginica | ||
6.4,2.8,5.6,2.1,Iris-virginica | ||
7.2,3,5.8,1.6,Iris-virginica | ||
7.4,2.8,6.1,1.9,Iris-virginica | ||
7.9,3.8,6.4,2,Iris-virginica | ||
6.4,2.8,5.6,2.2,Iris-virginica | ||
6.3,2.8,5.1,1.5,Iris-virginica | ||
6.1,2.6,5.6,1.4,Iris-virginica | ||
7.7,3,6.1,2.3,Iris-virginica | ||
6.3,3.4,5.6,2.4,Iris-virginica | ||
6.4,3.1,5.5,1.8,Iris-virginica | ||
6,3,4.8,1.8,Iris-virginica | ||
6.9,3.1,5.4,2.1,Iris-virginica | ||
6.7,3.1,5.6,2.4,Iris-virginica | ||
6.9,3.1,5.1,2.3,Iris-virginica | ||
5.8,2.7,5.1,1.9,Iris-virginica | ||
6.8,3.2,5.9,2.3,Iris-virginica | ||
6.7,3.3,5.7,2.5,Iris-virginica | ||
6.7,3,5.2,2.3,Iris-virginica | ||
6.3,2.5,5,1.9,Iris-virginica | ||
6.5,3,5.2,2,Iris-virginica | ||
6.2,3.4,5.4,2.3,Iris-virginica | ||
5.9,3,5.1,1.8,Iris-virginica |
Oops, something went wrong.