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Posted to commits@systemml.apache.org by du...@apache.org on 2016/09/12 19:06:01 UTC
incubator-systemml git commit: [SYSTEMML-910] Updating the Jupyter
notebook recommendation example with new MLContext changes.
Repository: incubator-systemml
Updated Branches:
refs/heads/master 01e622f54 -> f463e5f46
[SYSTEMML-910] Updating the Jupyter notebook recommendation example with new MLContext changes.
Project: http://git-wip-us.apache.org/repos/asf/incubator-systemml/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-systemml/commit/f463e5f4
Tree: http://git-wip-us.apache.org/repos/asf/incubator-systemml/tree/f463e5f4
Diff: http://git-wip-us.apache.org/repos/asf/incubator-systemml/diff/f463e5f4
Branch: refs/heads/master
Commit: f463e5f466b895775df111f21ca347ae82c2c4bc
Parents: 01e622f
Author: Mike Dusenberry <mw...@us.ibm.com>
Authored: Mon Sep 12 12:04:56 2016 -0700
Committer: Mike Dusenberry <mw...@us.ibm.com>
Committed: Mon Sep 12 12:04:56 2016 -0700
----------------------------------------------------------------------
.../SystemML-PySpark-Recommendation-Demo.ipynb | 28 +++++++++-----------
1 file changed, 13 insertions(+), 15 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-systemml/blob/f463e5f4/samples/jupyter-notebooks/SystemML-PySpark-Recommendation-Demo.ipynb
----------------------------------------------------------------------
diff --git a/samples/jupyter-notebooks/SystemML-PySpark-Recommendation-Demo.ipynb b/samples/jupyter-notebooks/SystemML-PySpark-Recommendation-Demo.ipynb
index b78a192..0c47c66 100644
--- a/samples/jupyter-notebooks/SystemML-PySpark-Recommendation-Demo.ipynb
+++ b/samples/jupyter-notebooks/SystemML-PySpark-Recommendation-Demo.ipynb
@@ -21,7 +21,7 @@
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
- "from SystemML import MLContext, dml # pip install SystemML\n",
+ "from systemml import MLContext, dml # pip install systeml\n",
"plt.rcParams['figure.figsize'] = (10, 6)"
]
},
@@ -47,16 +47,14 @@
" Dload Upload Total Spent Left Speed\n",
"\r",
" 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\r",
- " 2 11.2M 2 334k 0 0 384k 0 0:00:29 --:--:-- 0:00:29 384k\r",
- " 10 11.2M 10 1157k 0 0 617k 0 0:00:18 0:00:01 0:00:17 617k\r",
- " 18 11.2M 18 2127k 0 0 739k 0 0:00:15 0:00:02 0:00:13 739k\r",
- " 28 11.2M 28 3248k 0 0 838k 0 0:00:13 0:00:03 0:00:10 838k\r",
- " 39 11.2M 39 4544k 0 0 933k 0 0:00:12 0:00:04 0:00:08 933k\r",
- " 51 11.2M 51 5957k 0 0 1014k 0 0:00:11 0:00:05 0:00:06 1123k\r",
- " 65 11.2M 65 7517k 0 0 1093k 0 0:00:10 0:00:06 0:00:04 1272k\r",
- " 79 11.2M 79 9183k 0 0 1166k 0 0:00:09 0:00:07 0:00:02 1412k\r",
- " 94 11.2M 94 10.6M 0 0 1224k 0 0:00:09 0:00:08 0:00:01 1522k\r",
- "100 11.2M 100 11.2M 0 0 1242k 0 0:00:09 0:00:09 --:--:-- 1585k\n"
+ " 1 11.2M 1 151k 0 0 851k 0 0:00:13 --:--:-- 0:00:13 848k\r",
+ " 16 11.2M 16 1887k 0 0 1601k 0 0:00:07 0:00:01 0:00:06 1600k\r",
+ " 31 11.2M 31 3662k 0 0 1685k 0 0:00:06 0:00:02 0:00:04 1685k\r",
+ " 44 11.2M 44 5135k 0 0 1615k 0 0:00:07 0:00:03 0:00:04 1614k\r",
+ " 61 11.2M 61 7038k 0 0 1686k 0 0:00:06 0:00:04 0:00:02 1685k\r",
+ " 76 11.2M 76 8816k 0 0 1703k 0 0:00:06 0:00:05 0:00:01 1734k\r",
+ " 90 11.2M 90 10.1M 0 0 1687k 0 0:00:06 0:00:06 --:--:-- 1708k\r",
+ "100 11.2M 100 11.2M 0 0 1710k 0 0:00:06 0:00:06 --:--:-- 1722k\n"
]
}
],
@@ -182,7 +180,7 @@
{
"data": {
"text/plain": [
- "<matplotlib.text.Text at 0x107bded68>"
+ "<matplotlib.text.Text at 0x10ba407b8>"
]
},
"execution_count": 7,
@@ -191,9 +189,9 @@
},
{
"data": {
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"text/plain": [
- "<matplotlib.figure.Figure at 0x107bc1ef0>"
+ "<matplotlib.figure.Figure at 0x10b9beeb8>"
]
},
"metadata": {},
@@ -202,7 +200,7 @@
],
"source": [
"# Plot training loss over time\n",
- "xy = losses.toDF().sort(\"ID\").map(lambda r: (r[0], r[1])).collect()\n",
+ "xy = losses.toDF().sort(\"__INDEX\").map(lambda r: (r[0], r[1])).collect()\n",
"x, y = zip(*xy)\n",
"plt.plot(x, y)\n",
"plt.xlabel('Iteration')\n",