with BigML and 0codekit?
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 0codekit API offers a suite of tools aimed at improving development processes by providing services like code generation, data conversion, and other utility functions. In Pipedream, you can leverage this API to automate repetitive coding tasks, convert data formats on-the-fly, or integrate seamless code-generation features into your workflows. By harnessing the power of 0codekit within Pipedream's serverless platform, you can build efficient, scalable, and automated solutions that react to various triggers and interact with many apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
_0codekit: {
type: "app",
app: "_0codekit",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://v2.1saas.co/1saas/auth`,
headers: {
"auth": `${this._0codekit.$auth.api_key}`,
},
})
},
})