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Sim explorer #4

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Sim explorer #4

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1de70ff
commiting a branch in the san francisco model using the sim_explorer
fscottfoti Sep 25, 2014
899b2e2
yeah, yeah no ipython magic
fscottfoti Sep 25, 2014
50a85b3
pretty good results coming out of the sf model at this point
fscottfoti Sep 25, 2014
1a801c5
install pyproj when testing
fscottfoti Sep 25, 2014
7e77460
Merge branch 'master' into sim-explorer
fscottfoti Sep 25, 2014
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2 changes: 1 addition & 1 deletion .travis.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ install:
ipython-notebook jinja2 matplotlib numpy pandas patsy pip scipy statsmodels
pytables pytest pyyaml toolz
- source activate test-environment
- pip install simplejson bottle
- pip install simplejson bottle pyproj
- pip install https://github.com/synthicity/urbansim/archive/master.zip
before_script:
- ipython nbconvert --to python Simulation.ipynb
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32 changes: 6 additions & 26 deletions Estimation.ipynb
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
"signature": "sha256:6882991573e06bc93ea54cd517e7daa6509cfb798a42549e740c7e6d3f73da9e"
"signature": "sha256:7634be88010ffc9e10e2ee5b5ba43c56ddf90ac12e0bce5ff3352e578e1a9cd1"
},
"nbformat": 3,
"nbformat_minor": 0,
Expand Down Expand Up @@ -44,33 +44,13 @@
"stream": "stdout",
"text": [
"Running model 'rsh_estimate'\n",
"Filling column non_residential_rent with value 0 (142400 values)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"Filling column residential_units with value 0 (0 values)\n",
"Filling column year_built with value 1927.0 (3116 values)\n",
"Filling column residential_sales_price with value 0 (14196 values)"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"Filling column non_residential_sqft with value 0 (1341 values)\n",
"Filling column building_type_id with value 2.0 (0 values)\n",
" OLS Regression Results \n",
"=============================================================================================\n",
"Dep. Variable: np.log1p(residential_sales_price) R-squared: 0.399\n",
"Model: OLS Adj. R-squared: 0.399\n",
"Method: Least Squares F-statistic: 1.240e+04\n",
"Date: Fri, 08 Aug 2014 Prob (F-statistic): 0.00\n",
"Time: 13:43:07 Log-Likelihood: -2.5241e+05\n",
"Date: Thu, 25 Sep 2014 Prob (F-statistic): 0.00\n",
"Time: 15:42:11 Log-Likelihood: -2.5241e+05\n",
"No. Observations: 149409 AIC: 5.048e+05\n",
"Df Residuals: 149400 BIC: 5.049e+05\n",
"Df Model: 8 \n",
Expand Down Expand Up @@ -103,12 +83,12 @@
"stream": "stdout",
"text": [
"\n",
"Time to execute model 'rsh_estimate': 2.86s\n",
"Total time to execute: 2.86s\n"
"Time to execute model 'rsh_estimate': 1.20s\n",
"Total time to execute: 1.20s\n"
]
}
],
"prompt_number": 2
"prompt_number": 3
},
{
"cell_type": "code",
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196 changes: 129 additions & 67 deletions Exploration.ipynb
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