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feature: adicionando um novo plot #152

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31fc587
feature: adicionando plot que mostra as variancias das colunas, e mos…
gregorylira Aug 3, 2022
37d36cd
refactor: trocando o dataset padrão para um dataset conhecido
gregorylira Aug 19, 2022
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60 changes: 55 additions & 5 deletions tasks/variance-threshold/Experiment.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -32,11 +32,11 @@
"outputs": [],
"source": [
"# parameters\n",
"dataset = \"/tmp/data/boston.csv\" #@param {type:\"string\"}\n",
"target = \"medv\" #@param {type:\"feature\", label:\"Atributo alvo\", description: \"Esse valor será utilizado para garantir que o alvo não seja removido.\"}\n",
"dataset = \"/tmp/data/Iris-2.csv\" #@param {type:\"string\"}\n",
"target = \"\" #@param {type:\"feature\", label:\"Atributo alvo\", description: \"Esse valor será utilizado para garantir que o alvo não seja removido.\"}\n",
"\n",
"# hyperparameters\n",
"threshold = 0.0 #@param {type:\"number\", label:\"Limiar\", description:\"Atributos com variância menor que o limiar serão removidos.\"}"
"threshold = 2 #@param {type:\"number\", label:\"Limiar\", description:\"Atributos com variância menor que o limiar serão removidos.\"}\n"
]
},
{
Expand Down Expand Up @@ -201,6 +201,15 @@
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_after = df.copy()"
]
},
{
"cell_type": "code",
"execution_count": null,
Expand All @@ -214,6 +223,28 @@
" df[target] = y"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def description():\n",
" \n",
" new_df = pd.DataFrame({'Columns':[], 'Removed':[], 'Variance':[]})\n",
"\n",
" for column in columns:\n",
" if column in df.columns and column in numerical_columns:\n",
" new_df.loc[len(new_df)] = [column, 'No', df[column].var()]\n",
"\n",
" elif column in numerical_columns:\n",
" new_df.loc[len(new_df)] = [column, 'Yes', df_after[column].var()]\n",
" else:\n",
" new_df.loc[len(new_df)] = [column, 'text_column', \"text_column_no_variance\"]\n",
"\n",
" return new_df"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -237,6 +268,17 @@
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ax1 = plot_data_table(description())\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -285,8 +327,9 @@
],
"metadata": {
"celltoolbar": "Tags",
"experiment_id": "ee31de81-1d25-4a11-b580-1780f7f29b04",
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3.8.10 64-bit",
"language": "python",
"name": "python3"
},
Expand All @@ -300,7 +343,14 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
"version": "3.8.10"
},
"operator_id": "ddabcfe4-209a-4b85-85a2-73902cb267f4",
"task_id": "c3d6cc89-ed2c-48d0-924f-115fa7886fe2",
"vscode": {
"interpreter": {
"hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
}
}
},
"nbformat": 4,
Expand Down