with BigML and Symbl.ai?
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.
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.
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}`,
},
})
},
})
The Symbl.ai API supercharges your applications with advanced conversation intelligence. By tapping into Symbl.ai via Pipedream, you can automate the analysis of voice, text, and video communications. Extract actionable items, follow-ups, and insights in real-time or from recorded content. This API's magic lies in its ability to provide contextually relevant insights, topic detection, sentiment analysis, and conversation metrics without extensive training data or setup time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
symbl_ai: {
type: "app",
app: "symbl_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.symbl.ai/v1/manage/trackers`,
headers: {
Authorization: `Bearer ${this.symbl_ai.$auth.oauth_access_token}`,
"Content-Type": `application/json`,
},
})
},
})