Major Revisions

Changes made to the requirements file to be compatible with Python 3.8. Unused imports removed. Inference page removed

app.py

@@ -5,7 +5,7 @@
 
 # Custom imports 
 from multipage import MultiPage
-from pages import data_upload, machine_learning, metadata, data_visualize, redundant, inference # import your pages here
+from pages import data_upload, machine_learning, metadata, data_visualize, redundant # import your pages here
 
 # Create an instance of the app 
 app = MultiPage()

data/metadata/column_type_desc.csv

@@ -1,13 +1,10 @@
 column_name,type
-Country,object
-Region,categorical
-Happiness Rank,numerical
-Happiness Score,numerical
-Standard Error,numerical
-Economy (GDP per Capita),numerical
-Family,numerical
-Health (Life Expectancy),numerical
-Freedom,numerical
-Trust (Government Corruption),numerical
-Generosity,numerical
-Dystopia Residual,numerical
+_id,numerical
+ags2,categorical
+bundesland,categorical
+ags5,numerical
+kreis,object
+kr_to_be,numerical
+kr_to_bett,numerical
+kr_to_ga,numerical
+kr_to_gue,numerical

data/metadata/model_params.json

@@ -1 +1 @@
-{"X": ["Happiness Rank"], "y": "Happiness Score", "pred_type": "Regression"}
+{"X": ["bundesland", "ags5", "kr_to_ga", "kr_to_bett"], "y": "kr_to_be", "pred_type": "Regression"}

pages/data_upload.py

@@ -1,10 +1,7 @@
-import collections
-from numpy.core.defchararray import lower
 import streamlit as st
 import numpy as np
 import pandas as pd
 from pages import utils
-import streamlit.components.v1 as components 
 
 # @st.cache
 def app():

pages/data_visualize.py

@@ -1,11 +1,9 @@
-from numpy.core.defchararray import index
 import streamlit as st
 import numpy as np
 import pandas as pd
 from pages import utils
 import matplotlib.pyplot as plt
 import seaborn as sns
-import altair as alt
 import os
 
 def app():

pages/utils.py

@@ -9,9 +9,9 @@ def isCategorical(col):
         return True
     return False
 
-def getProfile(data):
-    report = ProfileReport(data)
-    report.to_file(output_file = 'data/output.html')
+# def getProfile(data):
+#     report = ProfileReport(data)
+#     report.to_file(output_file = 'data/output.html')
 
 def getColumnTypes(cols):
     Categorical=[]

requirements.txt

@@ -1,89 +1,4 @@
-altair==4.1.0
-argon2-cffi==20.1.0
-astor==0.8.1
-async-generator==1.10
-attrs==21.2.0
-backcall==0.2.0
-base58==2.1.0
-bleach==3.3.0
-blinker==1.4
-cachetools==4.2.2
-certifi==2020.12.5
-cffi==1.14.5
-chardet==4.0.0
-click==8.0.0
-colorama==0.4.4
-cycler==0.10.0
-decorator==5.0.9
-defusedxml==0.7.1
-entrypoints==0.3
-gitdb==4.0.7
-GitPython==3.1.17
-idna==2.10
-importlib-metadata==4.0.1
-ipykernel==5.5.5
-ipython==7.16.1
-ipython-genutils==0.2.0
-ipywidgets==7.6.3
-jedi==0.18.0
-Jinja2==3.0.0
-joblib==1.0.1
-jsonschema==3.2.0
-jupyter-client==6.1.12
-jupyter-core==4.7.1
-jupyterlab-pygments==0.1.2
-jupyterlab-widgets==1.0.0
-kiwisolver==1.3.1
-MarkupSafe==2.0.0
-matplotlib==3.3.2
-mistune==0.8.4
-nbclient==0.5.3
-nbconvert==6.0.7
-nbformat==5.1.3
-nest-asyncio==1.5.1
-notebook==6.3.0
-numpy==1.19.5
-packaging==20.9
-pandas==1.1.5
-pandocfilters==1.4.3
-parso==0.8.2
-pickleshare==0.7.5
-Pillow==8.2.0
-prometheus-client==0.10.1
-prompt-toolkit==3.0.18
-protobuf==3.17.0
-pyarrow==4.0.0
-pycparser==2.20
-pydeck==0.6.2
-Pygments==2.9.0
-pyparsing==2.4.7
-pyrsistent==0.17.3
-python-dateutil==2.8.1
-pytz==2021.1
-pywin32==300
-pywinpty==0.5.7
-pyzmq==22.0.3
-requests==2.25.1
 scikit-learn==0.24.2
-scipy==1.5.4
-seaborn==0.11.1
-Send2Trash==1.5.0
-six==1.16.0
-smmap==4.0.0
-streamlit==0.80.0
-terminado==0.9.5
-testpath==0.4.4
-threadpoolctl==2.1.0
-toml==0.10.2
-toolz==0.11.1
-tornado==6.1
-traitlets==4.3.3
-typing-extensions==3.10.0.0
-tzlocal==2.1
-urllib3==1.26.4
-validators==0.18.2
-watchdog==2.1.1
-wcwidth==0.2.5
-webencodings==0.5.1
-widgetsnbextension==3.5.1
-zipp==3.4.1
+pandas==1.2.4
+streamlit==0.83.0
+matplotlib==3.4.2