with BigCommerce and BigML?
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Create a model based on a given source ID, dataset ID, or model ID. See the docs.
The BigCommerce API enables merchants to seamlessly manage their e-commerce operations by automating tasks, syncing data, and integrating with a plethora of other services. With Pipedream, you can tap into the BigCommerce API to create custom workflows that handle everything from order processing to customer relationship management. The result is a more efficient, personalized shopping experience for customers and less manual work for store owners.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bigcommerce: {
type: "app",
app: "bigcommerce",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bigcommerce.com/stores/${this.bigcommerce.$auth.store_hash}/v3/catalog/summary`,
headers: {
"X-Auth-Token": `${this.bigcommerce.$auth.access_token}`,
},
})
},
})
The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bigml: {
type: "app",
app: "bigml",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://bigml.io/andromeda/source`,
params: {
username: `${this.bigml.$auth.username}`,
api_key: `${this.bigml.$auth.api_key}`,
},
})
},
})