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Feature Scaler

Scale and normalize features using various methods for machine learning preprocessing and data standardization

Specify which columns to scale. If empty, all numeric columns will be automatically detected and scaled.

Only required for inverse transform. Paste the scaling parameters from a previous run.

Treat first row as column headers

Apply inverse transformation using provided parameters

Include scaling parameters in the output for future inverse transformations

Skip detailed analysis and only output the scaled data

Key Facts

Category
Data Processing
Input Types
textarea, select, text, checkbox
Output Type
text
Sample Coverage
4
API Ready
Yes

Overview

Feature Scaler is an online data processing tool for scale and normalize features using various methods for machine learning preprocessing and data standardization. It is especially useful when working with csv, hash content.

When to Use

  • •Use it when you need to process csv, hash content quickly in the browser.
  • •Helpful for data processing workflows that need repeatable inputs and fast results.
  • •Useful when you want to test input and output behavior before integrating the workflow elsewhere.

How It Works

  • •Provide CSV Data Input, Scaling Method, Columns to Scale (optional), Scaling Parameters (for inverse transform) as input to the tool.
  • •The tool processes the request and returns a text result.
  • •For repeatable workflows, use the API endpoint shown on the page after validating the result interactively.

Use Cases

Process csv, hash data during debugging or QA.
Validate expected output before using the API or automation flows.
Compare small variations of input to understand output differences quickly.

Try with Samples

csv, hash
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Sample CSV files with various data types, sizes, and complexity levels
preferred input family csv
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Related Hubs

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FAQ

What does Feature Scaler do?

Feature Scaler helps you process csv, hash content online without setting up a separate local script or app.

When should I use this tool?

Use it when you need a quick process workflow, want to verify output, or need a browser-based utility for data processing tasks.

Can I try this tool with sample data?

Yes. Try short representative inputs first, then move to larger or more complex cases once the output looks correct.

What inputs does Feature Scaler accept?

Feature Scaler accepts CSV Data Input, Scaling Method, Columns to Scale (optional), Scaling Parameters (for inverse transform).

Is there an API for Feature Scaler?

Yes. The tool page includes an API endpoint so you can move from manual testing to scripted usage.

API Documentation

Request Endpoint

POST /en/api/tools/feature-scaler

Request Parameters

Parameter Name Type Required Description
csvData textarea Yes -
scalingMethod select Yes -
selectedColumns text No Specify which columns to scale. If empty, all numeric columns will be automatically detected and scaled.
scalingParams textarea No Only required for inverse transform. Paste the scaling parameters from a previous run.
hasHeader checkbox No Treat first row as column headers
inverseTransform checkbox No Apply inverse transformation using provided parameters
outputFormat select Yes -
saveParams checkbox No Include scaling parameters in the output for future inverse transformations
scaledOnly checkbox No Skip detailed analysis and only output the scaled data

Response Format

{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}
Text: Text

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-feature-scaler": {
      "name": "feature-scaler",
      "description": "Scale and normalize features using various methods for machine learning preprocessing and data standardization",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=feature-scaler",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]