curl --request POST \
--url https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/trainimport requests
url = "https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train"
response = requests.post(url)
print(response.text)const options = {method: 'POST'};
fetch('https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train"
req, _ := http.NewRequest("POST", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
response = http.request(request)
puts response.read_body{
"data": {},
"meta": {}
}{
"error": {
"code": "<string>",
"message": "<string>",
"status": 123,
"details": {}
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"status": 123,
"details": {}
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}{
"data": {},
"meta": {}
}{
"error": {
"code": "RATE_LIMITED",
"message": "<string>",
"status": 429,
"retry_after": 2
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"status": 123,
"details": {}
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}Train a predictive model
Fit the named predictive model over the tenant’s own first-party history and return a training report: the algorithm (L2 logistic regression for classifiers, L2 ridge regression for the value regressor), the training sample size, evaluation metrics (AUC / log-loss / accuracy for classification, R² / RMSE / MAE for regression), the learned intercept, and the standardised per-feature coefficients (feature importances). The fit is cached briefly per (tenant, model) so an immediately-following score call reuses it. When too few resolved-outcome samples exist, returns 422 with a status: "insufficient_data" report. Read-only — nothing is persisted. Owner / admin / developer only.
curl --request POST \
--url https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/trainimport requests
url = "https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train"
response = requests.post(url)
print(response.text)const options = {method: 'POST'};
fetch('https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train"
req, _ := http.NewRequest("POST", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
response = http.request(request)
puts response.read_body{
"data": {},
"meta": {}
}{
"error": {
"code": "<string>",
"message": "<string>",
"status": 123,
"details": {}
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"status": 123,
"details": {}
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}{
"data": {},
"meta": {}
}{
"error": {
"code": "RATE_LIMITED",
"message": "<string>",
"status": 429,
"retry_after": 2
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"status": 123,
"details": {}
},
"meta": {
"request_id": "<string>",
"timestamp": "2023-11-07T05:31:56Z",
"docs_url": "<string>"
}
}Path Parameters
Model key from GET /api/v1/cdp/predictive-models (also uplift for the persuadability endpoints).
churn_propensity, conversion_intent, lifetime_value, engagement_fatigue