Théo Villette
commited on
Commit
•
82c6295
1
Parent(s):
cac478c
add categorical data
Browse files- app.py +1 -1
- datasets/house_california.csv +0 -0
- utils.py +1 -13
app.py
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@@ -2,7 +2,7 @@ import streamlit as st
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from flaml.automl.data import get_output_from_log
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import plotly.express as px
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from utils import csv_to_featuers_list
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from autoML import autoML
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from flaml.automl.data import get_output_from_log
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import plotly.express as px
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from utils import csv_to_featuers_list
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from autoML import autoML
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datasets/house_california.csv
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The diff for this file is too large to render.
See raw diff
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utils.py
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import pandas as pd
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from sklearn.preprocessing import MinMaxScaler
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def csv_to_featuers_list(csv_file):
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if csv_file == None:
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return ['No csv yet']
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df = pd.read_csv(csv_file)
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return df.columns
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def pre_process_df(df):
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df.dropna(inplace=True)
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df.drop_duplicates(inplace=True)
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df.reset_index(inplace=True, drop=True)
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return df
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def pre_process_features(X):
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scaler = MinMaxScaler()
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X = scaler.fit_transform(X)
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return X
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import pandas as pd
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def csv_to_featuers_list(csv_file):
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if csv_file == None:
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return ['No csv yet']
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df = pd.read_csv(csv_file)
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return df.columns
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