Upload Training Data with MonkeyLearn API

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Upload Training Data with the MonkeyLearn API

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Getting Started#

Create a workflow to Upload Training Data with the MonkeyLearn API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Upload Training Data action
1. Connect your MonkeyLearn account
2. Select a Classifier Id
3. Configure Data Array
4. Optional- Select a Input Duplicates Strategy
5. Optional- Select a Existing Duplicates Strategy
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Upload Training Data with MonkeyLearn API on New Requests (Payload Only) from HTTP / Webhook API

HTTP / Webhook + MonkeyLearn

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Upload Training Data with MonkeyLearn API on New Submission from Typeform API

Typeform + MonkeyLearn

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Upload Training Data with MonkeyLearn API on Custom Events from Zoom API

Zoom + MonkeyLearn

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Upload Training Data with MonkeyLearn API on New Submission (Instant) from Jotform API

Jotform + MonkeyLearn

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Upload Training Data with MonkeyLearn API on New Custom Webhook Events from Stripe API

Stripe + MonkeyLearn

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Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Upload Training Data on MonkeyLearn

Description:Uploads data to a classifier. This component can be used to upload new data to a classifier, to update the tags of texts that have already been uploaded, or both. [See the docs here](https://monkeylearn.com/api/v3/#upload-classifier-data)

Version:0.0.1

Key:monkeylearn-upload-training-data

View on GitHub

Code#

import app from "../../monkeylearn.app.mjs";
import common from "../common/common.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "monkeylearn-upload-training-data",
  name: "Upload Training Data",
  description: "Uploads data to a classifier. This component can be used to upload new data to a classifier, to update the tags of texts that have already been uploaded, or both. [See the docs here](https://monkeylearn.com/api/v3/#upload-classifier-data)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    classifierId: {
      propDefinition: [
        app,
        "classifierId",
      ],
    },
    dataObjectArray: {
      propDefinition: [
        app,
        "dataObjectArray",
      ],
    },
    inputDuplicatesStrategy: {
      propDefinition: [
        app,
        "inputDuplicatesStrategy",
      ],
    },
    existingDuplicatesStrategy: {
      propDefinition: [
        app,
        "existingDuplicatesStrategy",
      ],
    },
  },
  async run({ $ }) {
    const {
      classifierId,
      dataObjectArray,
      inputDuplicatesStrategy,
      existingDuplicatesStrategy,
    } = this;
    const data = common.formatObjectArray(dataObjectArray);
    if (!data || !Array.isArray(data) || data.length === 0) {
      throw new ConfigurationError("Data must to be an array and must have at least one object.");
    }
    const params = {
      data,
      input_duplicates_strategy: inputDuplicatesStrategy,
      existing_duplicates_strategy: existingDuplicatesStrategy,
    };
    const response = await this.app.uploadClassifierTrainingData($, classifierId, params);
    $.export("$summary", "Successfully uploaded training data");
    return response;
  },
};

Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
MonkeyLearn	`app`	`app`	This component uses the MonkeyLearn app.
Classifier Id	`classifierId`	`string`	Select a value from the drop down menu.
Data Array	`dataObjectArray`	`string[]`	A list of data objects. Example: `[{ "text": "first text", "tags": ["tag_id_1", "tag_name"], "markers": ["any_marker", "other_marker"] }]`
Input Duplicates Strategy	`inputDuplicatesStrategy`	`string`	Select a value from the drop down menu:`{ "label": "Merge", "value": "merge" }{ "label": "Keep first", "value": "keep_first" }{ "label": "Keep last", "value": "keep_last" }`
Existing Duplicates Strategy	`existingDuplicatesStrategy`	`string`	Select a value from the drop down menu:`{ "label": "Overwrite", "value": "overwrite" }{ "label": "Ignore", "value": "ignore" }`