2 ms·
Yep, we made our own. I haven't heard of PMML before - quite cool! What we've made is a bit more readable for what we're using it for though, IMO. Looks like th
by angusb 10y ago
Yep, we made our own. I haven't heard of PMML before - quite cool! What we've made is a bit more readable for what we're using it for though, IMO. Looks like this:
{
"intercept": 1.0,
"features": {
"feature_1": {
"coefficient": 1.0,
"range": [0.1, 10.0],
"mean_feature_score": 1.0,
"imputation_value": 1.0
},
{
....
}
}
}
- sandGorgon 10y agoIs this open source? We were looking for something like this.
- angusb 10y agoSadly not. I'd be totally up for open sourcing if there's clear demand. If you can find it, send me an email at angus@{company_I_work_at}.com Note that it's very tied down to our use case right now: only compatible with Logistic Regression, and currently it assumes fixed hyperparameters (will change this in future though), assumes a production pipeline of min-max scaling, imputation, then classification.