This package provides functions for reading and writing CSV files:
// Read data:
var testData = csv.read('data/test-file.csv');
// Write data:
csv.write('data/test-file-copy.csv', testData);
Distribution objects can be written to CSV using csv.writeJoint and csv.writeMarginals
var myJointDistribution = Infer({model: function(){
var a = flip(0.5)
var b = flip(0.9)
return {a, b}
}})
// write distribution, maintaining joint distributional information
csv.writeJoint(myJointDistribution, 'data/test-joint.csv')
// write distribution, one variable per line (marginalized)
csv.writeMarginals(myJointDistribution, 'data/test-marginals.csv')
For more custom usage, use csv.open, csv.close, and csv.writeLine.
If you use the query.table with MCMC, try out csv.writeDistTable
To globally install webppl-csv, run:
mkdir -p ~/.webppl
npm install --prefix ~/.webppl webppl-csv
This may print warnings (npm WARN ENOENT...) which can be ignored.
To upgrade to the latest version, run:
npm install --prefix ~/.webppl webppl-csv --force
Once installed, you can make all csv. functions available to program.wppl by running:
webppl program.wppl --require webppl-csv
Run the included test using:
webppl test/test.wppl --require .
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