From 3f81bed95a70bd776e216d38c08199198bff6135 Mon Sep 17 00:00:00 2001 From: obsiDiana <67925509+dianaceroallard@users.noreply.github.com> Date: Mon, 1 Feb 2021 18:26:15 -0700 Subject: [PATCH] adding details regression --- ...sion_UtahForge-58-32_well-checkpoint.ipynb | 183 +++++++++++++----- 2.Regression_UtahForge-58-32_well.ipynb | 183 +++++++++++++----- README.md | 4 +- 3 files changed, 274 insertions(+), 96 deletions(-) diff --git a/.ipynb_checkpoints/2.Regression_UtahForge-58-32_well-checkpoint.ipynb b/.ipynb_checkpoints/2.Regression_UtahForge-58-32_well-checkpoint.ipynb index 14bdc82..8cef768 100644 --- a/.ipynb_checkpoints/2.Regression_UtahForge-58-32_well-checkpoint.ipynb +++ b/.ipynb_checkpoints/2.Regression_UtahForge-58-32_well-checkpoint.ipynb @@ -6,14 +6,14 @@ "source": [ "### Well-logs data from Utah Forge Project https://gdr.openei.org/submissions/1111\n", "\n", - "### Regression to predict Thermoconductivity from GR, SP, RHOZ, NPHI, PEFZ, logAT90,DTCO, VpVs, CTEM, and TEMP_ratio (CTEM/Matrix TC)\n", + "### Regression to predict Thermal Conductivity from GR, SP, RHOZ, NPHI, PEFZ, logAT90,DTCO, VpVs, CTEM, and TEMP_ratio (CTEM/Matrix TC)\n", "\n", "##### Some functions adapted from https://sainosmichelle.github.io/elements.html & https://github.com/Rocks-n-Code/PythonCourse" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -31,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -66,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -264,7 +264,7 @@ "[5 rows x 107 columns]" ] }, - "execution_count": 50, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -282,7 +282,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -304,7 +304,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -318,9 +318,91 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 8, "metadata": {}, "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "application/vnd.plotly.v1+json": { @@ -43873,20 +43955,20 @@ "
\n", " \n", " \n", - "
\n", + "
\n", " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "application/vnd.plotly.v1+json": { @@ -43873,20 +43955,20 @@ "
\n", " \n", " \n", - "
\n", + "
\n", "