From 116026a3b81ec0641027ee089c7fca614c5b0d9e Mon Sep 17 00:00:00 2001 From: Jack Date: Tue, 13 Feb 2018 02:06:29 -0500 Subject: [PATCH] Minor fixes to midas_demo.ipynb a couple things weren't working and now they are --- midas_demo.ipynb | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/midas_demo.ipynb b/midas_demo.ipynb index 4f8ad06..64d25c7 100644 --- a/midas_demo.ipynb +++ b/midas_demo.ipynb @@ -20,7 +20,7 @@ }, "outputs": [], "source": [ - "from midas import Midas\n", + "from midas import MIDAS\n", "from sklearn.preprocessing import MinMaxScaler\n", "import numpy as np\n", "import pandas as pd\n", @@ -52,7 +52,7 @@ " return spike_in\n", "\n", "spike_in = spike_in_generation(data_0)\n", - "original value = data_0.iloc[50, 0]\n", + "original_value = data_0.iloc[50, 0]\n", "data_0[spike_in == 1] = np.nan" ] }, @@ -148,7 +148,7 @@ "metadata": {}, "outputs": [], "source": [ - "??Midas.generate_samples()" + "??MIDAS.generate_samples()" ] }, { @@ -157,7 +157,7 @@ "metadata": {}, "outputs": [], "source": [ - "??Midas" + "??MIDAS" ] }, { @@ -225,7 +225,7 @@ "print(\"Imputed values:\")\n", "print(imputed_vals)\n", "print(\"Imputation mean:\", np.mean(imputed_vals))\n", - "print(\"Imputation standard deviation:\", np.stddev(imputed_vals))" + "print(\"Imputation standard deviation:\", np.std(imputed_vals))" ] }, {