Created
March 11, 2021 01:07
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Load modules and define function to load data" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"%matplotlib inline\n", | |
"\n", | |
"from matplotlib import pyplot as plt\n", | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"from sklearn.model_selection import train_test_split\n", | |
"from sklearn.ensemble import RandomForestRegressor\n", | |
"from sklearn.linear_model import LinearRegression\n", | |
"\n", | |
"veg_type_name = {0: \"Combined\", 1: \"Grassland\", 2: \"Shrubsland\", 3: \"Forest\"}\n", | |
"\n", | |
"def generate_train_datasets(veg_type=0, subset_perc=0.15, test_size=0.25):\n", | |
" # 1.- Load\n", | |
" df = pd.read_csv(\"fmc_s2_reflectances.csv\")\n", | |
"\n", | |
" # 2.- Shuffle\n", | |
" df = df.sample(frac=1)\n", | |
"\n", | |
" # 3.- Filter veg_type\n", | |
" if veg_type != 0:\n", | |
" df = df[df['veg_type']==veg_type]\n", | |
"\n", | |
" # 4.- Subset\n", | |
" df = df.sample(frac=subset_perc)\n", | |
"\n", | |
" # 5.- Split train/val\n", | |
" return train_test_split(df, test_size=test_size)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Linear regression test" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 1152x288 with 4 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"fig, axs = plt.subplots(1,4, figsize=(16, 4), facecolor='w', edgecolor='k')\n", | |
"fig.subplots_adjust(wspace=.3)\n", | |
"axs = axs.ravel()\n", | |
"\n", | |
"for veg_type in [0,1,2,3]:\n", | |
" train, test = generate_train_datasets(veg_type)\n", | |
" lr = LinearRegression()\n", | |
" lr.fit(train[['nbart_blue','nbart_green','nbart_red','nbart_nir_1','nbart_nir_2','nbart_swir_2','nbart_swir_3']], train['fmc_mean'])\n", | |
" y_hat = lr.predict(test[['nbart_blue','nbart_green','nbart_red','nbart_nir_1','nbart_nir_2','nbart_swir_2','nbart_swir_3']])\n", | |
" axs[veg_type].scatter(y_hat, test['fmc_mean'].values)\n", | |
" score = lr.score(test[['nbart_blue','nbart_green','nbart_red','nbart_nir_1','nbart_nir_2','nbart_swir_2','nbart_swir_3']], test['fmc_mean'])\n", | |
" axs[veg_type].set_title(f\"Vegetation type: {veg_type_name[veg_type]}. R2: {score:.2f}\")" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Random Forest test" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 1152x288 with 4 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"fig, axs = plt.subplots(1,4, figsize=(16, 4), facecolor='w', edgecolor='k')\n", | |
"fig.subplots_adjust(wspace=.3)\n", | |
"axs = axs.ravel()\n", | |
"\n", | |
"for veg_type in [0,1,2,3]:\n", | |
" rf = RandomForestRegressor(n_estimators=25, max_depth=10, n_jobs=8)\n", | |
" train, test = generate_train_datasets(veg_type)\n", | |
" rf.fit(train[['nbart_blue','nbart_green','nbart_red','nbart_nir_1','nbart_nir_2','nbart_swir_2','nbart_swir_3']], train['fmc_mean'])\n", | |
" y_hat = rf.predict(test[['nbart_blue','nbart_green','nbart_red','nbart_nir_1','nbart_nir_2','nbart_swir_2','nbart_swir_3']])\n", | |
" axs[veg_type].scatter(y_hat, test['fmc_mean'].values)\n", | |
" score = rf.score(test[['nbart_blue','nbart_green','nbart_red','nbart_nir_1','nbart_nir_2','nbart_swir_2','nbart_swir_3']], test['fmc_mean'])\n", | |
" axs[veg_type].set_title(f\"Vegetation type: {veg_type_name[veg_type]}. R2: {score:.2f}\")" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### RF configuration R2 comparison" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"------- Vegetation type: Combined --------\n", | |
" Estimators: 10 -- Depth: 05 -- R2: 0.41\n", | |
" Estimators: 10 -- Depth: 10 -- R2: 0.52\n", | |
" Estimators: 10 -- Depth: 25 -- R2: 0.51\n", | |
" Estimators: 10 -- Depth: 50 -- R2: 0.52\n", | |
" Estimators: 25 -- Depth: 05 -- R2: 0.42\n", | |
" Estimators: 25 -- Depth: 10 -- R2: 0.53\n", | |
" Estimators: 25 -- Depth: 25 -- R2: 0.54\n", | |
" Estimators: 25 -- Depth: 50 -- R2: 0.54\n", | |
" Estimators: 50 -- Depth: 05 -- R2: 0.42\n", | |
" Estimators: 50 -- Depth: 10 -- R2: 0.52\n", | |
" Estimators: 50 -- Depth: 25 -- R2: 0.56\n", | |
" Estimators: 50 -- Depth: 50 -- R2: 0.56\n", | |
"------- Vegetation type: Grassland --------\n", | |
" Estimators: 10 -- Depth: 05 -- R2: 0.59\n", | |
" Estimators: 10 -- Depth: 10 -- R2: 0.70\n", | |
" Estimators: 10 -- Depth: 25 -- R2: 0.70\n", | |
" Estimators: 10 -- Depth: 50 -- R2: 0.69\n", | |
" Estimators: 25 -- Depth: 05 -- R2: 0.58\n", | |
" Estimators: 25 -- Depth: 10 -- R2: 0.70\n", | |
" Estimators: 25 -- Depth: 25 -- R2: 0.71\n", | |
" Estimators: 25 -- Depth: 50 -- R2: 0.72\n", | |
" Estimators: 50 -- Depth: 05 -- R2: 0.58\n", | |
" Estimators: 50 -- Depth: 10 -- R2: 0.71\n", | |
" Estimators: 50 -- Depth: 25 -- R2: 0.72\n", | |
" Estimators: 50 -- Depth: 50 -- R2: 0.73\n", | |
"------- Vegetation type: Shrubsland --------\n", | |
" Estimators: 10 -- Depth: 05 -- R2: 0.27\n", | |
" Estimators: 10 -- Depth: 10 -- R2: 0.35\n", | |
" Estimators: 10 -- Depth: 25 -- R2: 0.39\n", | |
" Estimators: 10 -- Depth: 50 -- R2: 0.36\n", | |
" Estimators: 25 -- Depth: 05 -- R2: 0.28\n", | |
" Estimators: 25 -- Depth: 10 -- R2: 0.39\n", | |
" Estimators: 25 -- Depth: 25 -- R2: 0.37\n", | |
" Estimators: 25 -- Depth: 50 -- R2: 0.40\n", | |
" Estimators: 50 -- Depth: 05 -- R2: 0.28\n", | |
" Estimators: 50 -- Depth: 10 -- R2: 0.38\n", | |
" Estimators: 50 -- Depth: 25 -- R2: 0.40\n", | |
" Estimators: 50 -- Depth: 50 -- R2: 0.44\n", | |
"------- Vegetation type: Forest --------\n", | |
" Estimators: 10 -- Depth: 05 -- R2: 0.40\n", | |
" Estimators: 10 -- Depth: 10 -- R2: 0.46\n", | |
" Estimators: 10 -- Depth: 25 -- R2: 0.45\n", | |
" Estimators: 10 -- Depth: 50 -- R2: 0.44\n", | |
" Estimators: 25 -- Depth: 05 -- R2: 0.41\n", | |
" Estimators: 25 -- Depth: 10 -- R2: 0.48\n", | |
" Estimators: 25 -- Depth: 25 -- R2: 0.48\n", | |
" Estimators: 25 -- Depth: 50 -- R2: 0.48\n", | |
" Estimators: 50 -- Depth: 05 -- R2: 0.41\n", | |
" Estimators: 50 -- Depth: 10 -- R2: 0.46\n", | |
" Estimators: 50 -- Depth: 25 -- R2: 0.48\n", | |
" Estimators: 50 -- Depth: 50 -- R2: 0.49\n" | |
] | |
} | |
], | |
"source": [ | |
"for veg_type in [0,1,2,3]:\n", | |
" print(f\"------- Vegetation type: {veg_type_name[veg_type]} --------\")\n", | |
" for n_estimators in [10,25,50]:\n", | |
" for max_depth in [5,10,25,50]:\n", | |
" rf = RandomForestRegressor(n_estimators=n_estimators, max_depth=max_depth, n_jobs=8)\n", | |
" train, test = generate_train_datasets(veg_type)\n", | |
" rf.fit(train[['nbart_blue','nbart_green','nbart_red','nbart_nir_1','nbart_nir_2','nbart_swir_2','nbart_swir_3']], train['fmc_mean'])\n", | |
" score = rf.score(test[['nbart_blue','nbart_green','nbart_red','nbart_nir_1','nbart_nir_2','nbart_swir_2','nbart_swir_3']], test['fmc_mean'])\n", | |
" print(f\" Estimators: {n_estimators} -- Depth: {max_depth:02} -- R2: {score:.2f}\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.8.5" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 4 | |
} |
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