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Mid-GLM rewrite checkin
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tutorials/deeplearning/deeplearning.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"We visualize the nature of H2O Deep Learning (DL), H2O's tree methods (GBM/DRF) and H2O's generalized linear modeling (GLM) by plotting the decision boundary between the red and black spirals:"
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"We visualize the nature of H2O Deep Learning (DL), H2O's tree methods (GBM/DRF) and H2O's generalized linear modeling (GLM) by plotting the decision boundary between the red and black spirals:\n",
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"\n",
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"Let's get our imports first."
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]
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},
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{
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},
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"outputs": [],
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"source": [
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"%matplotlib inline \n",
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"%matplotlib inline \n",
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"#IMPORT ALL THE THINGS\n",
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"\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"\n",
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"from h2o.estimators.deeplearning import H2OAutoEncoderEstimator, H2ODeepLearningEstimator\n",
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"from h2o.estimators.gbm import H2OGradientBoostingEstimator\n",
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"from h2o.estimators.glm import H2OGeneralizedLinearEstimator\n",

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