Duplicate from Anniek/Time_series_forecast

Co-authored-by: Jansen <Anniek@users.noreply.huggingface.co>

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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AirPassengers.csv

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+Month,#Passengers
+1949-01,112
+1949-02,118
+1949-03,132
+1949-04,129
+1949-05,121
+1949-06,135
+1949-07,148
+1949-08,148
+1949-09,136
+1949-10,119
+1949-11,104
+1949-12,118
+1950-01,115
+1950-02,126
+1950-03,141
+1950-04,135
+1950-05,125
+1950-06,149
+1950-07,170
+1950-08,170
+1950-09,158
+1950-10,133
+1950-11,114
+1950-12,140
+1951-01,145
+1951-02,150
+1951-03,178
+1951-04,163
+1951-05,172
+1951-06,178
+1951-07,199
+1951-08,199
+1951-09,184
+1951-10,162
+1951-11,146
+1951-12,166
+1952-01,171
+1952-02,180
+1952-03,193
+1952-04,181
+1952-05,183
+1952-06,218
+1952-07,230
+1952-08,242
+1952-09,209
+1952-10,191
+1952-11,172
+1952-12,194
+1953-01,196
+1953-02,196
+1953-03,236
+1953-04,235
+1953-05,229
+1953-06,243
+1953-07,264
+1953-08,272
+1953-09,237
+1953-10,211
+1953-11,180
+1953-12,201
+1954-01,204
+1954-02,188
+1954-03,235
+1954-04,227
+1954-05,234
+1954-06,264
+1954-07,302
+1954-08,293
+1954-09,259
+1954-10,229
+1954-11,203
+1954-12,229
+1955-01,242
+1955-02,233
+1955-03,267
+1955-04,269
+1955-05,270
+1955-06,315
+1955-07,364
+1955-08,347
+1955-09,312
+1955-10,274
+1955-11,237
+1955-12,278
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+1960-06,535
+1960-07,622
+1960-08,606
+1960-09,508
+1960-10,461
+1960-11,390
+1960-12,432

AirPassengers_dt.csv

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+Month,#Passengers
+1949-01-01,112
+1949-02-01,118
+1949-03-01,132
+1949-04-01,129
+1949-05-01,121
+1949-06-01,135
+1949-07-01,148
+1949-08-01,148
+1949-09-01,136
+1949-10-01,119
+1949-11-01,104
+1949-12-01,118
+1950-01-01,115
+1950-02-01,126
+1950-03-01,141
+1950-04-01,135
+1950-05-01,125
+1950-06-01,149
+1950-07-01,170
+1950-08-01,170
+1950-09-01,158
+1950-10-01,133
+1950-11-01,114
+1950-12-01,140
+1951-01-01,145
+1951-02-01,150
+1951-03-01,178
+1951-04-01,163
+1951-05-01,172
+1951-06-01,178
+1951-07-01,199
+1951-08-01,199
+1951-09-01,184
+1951-10-01,162
+1951-11-01,146
+1951-12-01,166
+1952-01-01,171
+1952-02-01,180
+1952-03-01,193
+1952-04-01,181
+1952-05-01,183
+1952-06-01,218
+1952-07-01,230
+1952-08-01,242
+1952-09-01,209
+1952-10-01,191
+1952-11-01,172
+1952-12-01,194
+1953-01-01,196
+1953-02-01,196
+1953-03-01,236
+1953-04-01,235
+1953-05-01,229
+1953-06-01,243
+1953-07-01,264
+1953-08-01,272
+1953-09-01,237
+1953-10-01,211
+1953-11-01,180
+1953-12-01,201
+1954-01-01,204
+1954-02-01,188
+1954-03-01,235
+1954-04-01,227
+1954-05-01,234
+1954-06-01,264
+1954-07-01,302
+1954-08-01,293
+1954-09-01,259
+1954-10-01,229
+1954-11-01,203
+1954-12-01,229
+1955-01-01,242
+1955-02-01,233
+1955-03-01,267
+1955-04-01,269
+1955-05-01,270
+1955-06-01,315
+1955-07-01,364
+1955-08-01,347
+1955-09-01,312
+1955-10-01,274
+1955-11-01,237
+1955-12-01,278
+1956-01-01,284
+1956-02-01,277
+1956-03-01,317
+1956-04-01,313
+1956-05-01,318
+1956-06-01,374
+1956-07-01,413
+1956-08-01,405
+1956-09-01,355
+1956-10-01,306
+1956-11-01,271
+1956-12-01,306
+1957-01-01,315
+1957-02-01,301
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+1957-04-01,348
+1957-05-01,355
+1957-06-01,422
+1957-07-01,465
+1957-08-01,467
+1957-09-01,404
+1957-10-01,347
+1957-11-01,305
+1957-12-01,336
+1958-01-01,340
+1958-02-01,318
+1958-03-01,362
+1958-04-01,348
+1958-05-01,363
+1958-06-01,435
+1958-07-01,491
+1958-08-01,505
+1958-09-01,404
+1958-10-01,359
+1958-11-01,310
+1958-12-01,337
+1959-01-01,360
+1959-02-01,342
+1959-03-01,406
+1959-04-01,396
+1959-05-01,420
+1959-06-01,472
+1959-07-01,548
+1959-08-01,559
+1959-09-01,463
+1959-10-01,407
+1959-11-01,362
+1959-12-01,405
+1960-01-01,417
+1960-02-01,391
+1960-03-01,419
+1960-04-01,461
+1960-05-01,472
+1960-06-01,535
+1960-07-01,622
+1960-08-01,606
+1960-09-01,508
+1960-10-01,461
+1960-11-01,390
+1960-12-01,432

README.md

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+---
+title: Time Series Forecast
+emoji: 🐠
+colorFrom: blue
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.16.2
+app_file: app.py
+pinned: false
+duplicated_from: Anniek/Time_series_forecast
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from datetime import datetime
+import numpy as np
+import pandas as pd
+from sklearn.ensemble import RandomForestRegressor
+import gradio as gr
+import plotly.graph_objects as go
+from huggingface_hub import from_pretrained_keras
+import os
+
+
+def predictAirPassengers(df, split):
+    ts= pd.read_csv('AirPassengers.csv')
+    df2 =ts.copy()
+    ttSplit=split/100
+    ts['Month']=pd.to_datetime(ts['Month'])
+    ts.rename(columns={'#Passengers':'Passengers'},inplace=True)
+    ts=ts.set_index(['Month'])
+    ts['months'] = [x.month for x in ts.index]
+    ts['years'] = [x.year for x in ts.index]
+    ts.reset_index(drop=True, inplace=True)
+
+    # Split Data
+    X=ts.drop("Passengers",axis=1)
+    Y= ts["Passengers"]
+    X_train=X[:int (len(Y)*ttSplit)] 
+    X_test=X[int(len(Y)*ttSplit):]
+    Y_train=Y[:int (len(Y)*ttSplit)] 
+    Y_test=Y[int(len(Y)*ttSplit):]
+
+    # fit the model
+    rf = RandomForestRegressor()
+    rf.fit(X_train, Y_train)
+    
+    df1=df2.set_index(['Month'])
+    df1.rename(columns={'#Passengers':'Passengers'},inplace=True)
+    train=df1.Passengers[:int (len(ts.Passengers)*ttSplit)]
+    test=df1.Passengers[int(len(ts.Passengers)*ttSplit):]
+    preds=rf.predict(X_test).astype(int) 
+    predictions=pd.DataFrame(preds,columns=['Passengers'])
+    predictions.index=test.index
+    predictions.reset_index(inplace=True)
+    predictions['Month']=pd.to_datetime(predictions['Month'])
+    print(predictions)
+    
+    #combine all into one table
+    ts_df=df.copy()
+    ts_df.rename(columns={'#Passengers':'Passengers'},inplace=True)
+    train= ts_df[:int (len(ts_df)*ttSplit)]
+    test= ts_df[int(len(ts_df)*ttSplit):] 
+
+    df2['Month']=pd.to_datetime(df2['Month'])
+    df2.rename(columns={'#Passengers':'Passengers'},inplace=True)
+    df3= predictions
+    df2['origin']='ground truth'
+    df3['origin']='prediction'
+    df4=pd.concat([df2, df3])
+    print(df4)
+    return df4
+
+demo = gr.Interface(
+    fn =predictAirPassengers,
+    inputs = [
+        gr.Timeseries(label="Input for the timeseries", max_rows=1, interactive=False),
+        gr.Slider(1, 100, value=75, step=1, label="Train test split percentage"),
+    ],
+    outputs= [
+       gr.LinePlot(x='Month', y='Passengers', color='origin')
+       #gr.Timeseries(x='Month')
+
+    ],
+    examples=[
+        [os.path.join(os.path.abspath(''), "AirPassengers_dt.csv"), 75],
+    ]
+)
+
+demo.launch() 

requirements.txt

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+gradio
+pandas
+datetime
+
+plotly
+torch
+git+https://github.com/huggingface/transformers.git
+scikit-learn