Data Analysis
Herramienta avanzada de análisis de regresión para realizar análisis de regresión lineal, calcular estadísticas de regresión y hacer predicciones.
Llama a esta herramienta desde tu código en tres lenguajes.
curl -X POST 'https://api.elysiatools.com/es/api/tools/regression-analyzer' \
-H 'Content-Type: application/json' \
-d '{"inputData":"sales,advertising,price,season\n1500,200,29.99,1\n1800,250,27.99,2\n2100,300,24.99,1\n1900,280,26.99,2\n2400,350,22.99,1","targetColumn":"sales","featureColumns":"advertising, price, season\n\nLeave empty to auto-detect numeric columns","regressionType":"multiple","confidenceLevel":"0.95","handleMissing":"remove","outlierMethod":"none","includeIntercept":true,"standardizeFeatures":false,"generatePredictions":false,"predictionData":"advertising, price, season\n320,21.99,1\n280,25.99,2","includeDiagnostics":true,"decimalPlaces":4}'Envía una petición POST con tus entradas en JSON. Los parámetros de tipo archivo requieren una subida previa.
POST https://api.elysiatools.com/es/api/tools/regression-analyzer| Nombre | Tipo | Obligatorio | Descripción |
|---|---|---|---|
| inputData | textarea | Sí | — |
| targetColumn | text | Sí | — |
| featureColumns | textarea | No | — |
| regressionType | select | No | — |
| confidenceLevel | select | No | — |
| handleMissing | select | No | — |
| outlierMethod | select | No | — |
| includeIntercept | checkbox | No | — |
| standardizeFeatures | checkbox | No | — |
| generatePredictions | checkbox | No | — |
| predictionData | textarea | No | CSV data for making predictions (must include same feature columns as training data) |
| includeDiagnostics | checkbox | No | — |
| decimalPlaces | number | No | Number of decimal places for regression coefficients and statistics |
Resultado de texto
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}Añade esta herramienta a tu servidor Model Context Protocol para que los agentes de IA puedan listarla y llamarla.
Añade este bloque a la configuración de tu cliente MCP:
{
"mcpServers": {
"elysiatools-regression-analyzer": {
"name": "regression-analyzer",
"description": "Herramienta avanzada de análisis de regresión para realizar análisis de regresión lineal, calcular estadísticas de regresión y hacer predicciones.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=regression-analyzer",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}Tras conectar al endpoint SSE, lista las herramientas expuestas:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoca la herramienta por su id; los argumentos se construyen a partir de sus parámetros:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "regression-analyzer",
"arguments": {
"inputData": "sales,advertising,price,season\n1500,200,29.99,1\n1800,250,27.99,2\n2100,300,24.99,1\n1900,280,26.99,2\n2400,350,22.99,1",
"targetColumn": "sales",
"featureColumns": "advertising, price, season\n\nLeave empty to auto-detect numeric columns",
"regressionType": "multiple",
"confidenceLevel": "0.95",
"handleMissing": "remove",
"outlierMethod": "none",
"includeIntercept": true,
"standardizeFeatures": false,
"generatePredictions": false,
"predictionData": "advertising, price, season\n320,21.99,1\n280,25.99,2",
"includeDiagnostics": true,
"decimalPlaces": 4
}
}
}¿Dudas o problemas? Contacta con [email protected]