From b03901a9b61225319c2098a315d73318f401f97d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jorge=20Trujillo=20Rom=C3=A1n?=
 <jorgetrujilloroman@gmail.com>
Date: Mon, 11 Mar 2024 14:03:24 +0100
Subject: [PATCH] Fixing the Classifying IMU Data sketch

---
 .../get-started-with-machine-learning.md                      | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/content/hardware/03.nano/boards/nano-33-ble-rev2/tutorials/get-started-with-machine-learning/get-started-with-machine-learning.md b/content/hardware/03.nano/boards/nano-33-ble-rev2/tutorials/get-started-with-machine-learning/get-started-with-machine-learning.md
index 26453eb305..bcfedd0776 100644
--- a/content/hardware/03.nano/boards/nano-33-ble-rev2/tutorials/get-started-with-machine-learning/get-started-with-machine-learning.md
+++ b/content/hardware/03.nano/boards/nano-33-ble-rev2/tutorials/get-started-with-machine-learning/get-started-with-machine-learning.md
@@ -305,10 +305,8 @@ We will be starting a new sketch, you will find the complete code below:
 
 #include <TensorFlowLite.h>
 #include <tensorflow/lite/micro/all_ops_resolver.h>
-#include <tensorflow/lite/micro/micro_error_reporter.h>
 #include <tensorflow/lite/micro/micro_interpreter.h>
 #include <tensorflow/lite/schema/schema_generated.h>
-#include <tensorflow/lite/version.h>
 
 #include "model.h"
 
@@ -371,7 +369,7 @@ void setup() {
   }
 
   // Create an interpreter to run the model
-  tflInterpreter = new tflite::MicroInterpreter(tflModel, tflOpsResolver, tensorArena, tensorArenaSize, &tflErrorReporter);
+  tflInterpreter = new tflite::MicroInterpreter(tflModel, tflOpsResolver, tensorArena, tensorArenaSize);
 
   // Allocate memory for the model's input and output tensors
   tflInterpreter->AllocateTensors();