Machine Learning made beautifully simple. A company-wide platform that runs in any cloud or on-premises to operationalize Machine Learning in your organization.
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Add or update a single record in your Pipedream Data Store.
Create a model based on a given source ID, dataset ID, or model ID. See the docs.
Add or update multiple records to your Pipedream Data Store.
Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.
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}`,
},
})
},
})
With the Data Stores API, you can build applications that:
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})