Welcome to Easy-ML

Select a task pipeline to build your model

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Tabular Classification

Predict categories from structured CSV data.

Random ForestLogReg

trending_up

Tabular Regression

Predict continuous numbers from structured CSV data.

Random ForestLinear Reg

article

NLP Text Classification

Text classification, sentiment analysis via natural language.

TF-IDFEmbeddings

image

Image Classification

Train deep learning models on image datasets.

ResNet18MobileNetV2

Requires the CV extra: {{ installHint('cv') }}

settings Settings

Manage your data storage and application preferences

📂 Data Storage

Data Directory:
{{ settingsInfo.data_dir }}

Storage Used: {{ settingsInfo.storage_used_mb }} MB

Disk Free: {{ settingsInfo.disk_free_mb }} MB

Version: {{ settingsInfo.version }}

Loading settings...

⚡ GPU / CUDA

{{ cudaInfo.cuda_available ? '⚡ GPU Available' : '🖥️ CPU Only / Unavailable' }} {{ cudaInfo.cuda_device_name }}

PyTorch Version: {{ cudaInfo.torch_version }}

Why CPU Only? Standard pip on Windows often installs the CPU version of PyTorch by default. If you have an NVIDIA GPU, reinstall with:
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118

🗑️ Clear Data

Delete all runs, databases, uploads, and logs. This cannot be undone.

About Easy-ML

An open-source, no-code ML platform

👥 Developers

LinkedIn ↗

Project Email: {{ creditsInfo.contact_email }}

Version: {{ creditsInfo.version }}

License: Apache 2.0

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Upload Dataset

Upload a CSV or Excel file for {{ taskLabel(config.task) }}

cloud_upload

Drag & drop your CSV / Excel file here, or click to browse

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{{ uploadedFileName }} loaded successfully

{{ uploadedData.rows }} rows × {{ uploadedData.cols }} columns

Uploading...

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Select Image Dataset Folder

Choose a folder inside your Easy-ML Data Directory (e.g. uploads/) that contains subfolders for each image class.

Column Configuration

Run Details

Text Column

Target / Label Column

Run Name

A run name is required.

Data Preview

{{ col }} TARGET
{{ truncate(row[col], 50) }}

Pipeline Configuration

Configure preprocessing and features for {{ taskLabel(config.task) }}

Text Cleaning

Lowercase

Remove Stopwords

Lemmatize Needs {{ installHint('lemmatize') }}

Regex Clean

Imbalanced Data Handling

Target Class Distribution ({{ config.target_column }})

Loading distribution...

⚠️ Highly Imbalanced Dataset Detected

✅ Dataset is reasonably balanced

{{ cls.class }}: {{ cls.percentage }}% ({{ cls.count }})

Method

Applied after TF-IDF / Embeddings step.

Feature Extraction

Sentence embeddings need the NLP extra: {{ installHint('embeddings') }}

Type

Max Features

Model

Image Preprocessing

Image Size

Batch Size

Validation Split

Data Augmentation

Data Transforms

Missing Data Handling

Imbalanced Data Handling

Target Class Distribution ({{ config.target_column }})

Loading distribution...

⚠️ Highly Imbalanced Dataset Detected

✅ Dataset is reasonably balanced

{{ cls.class }}: {{ cls.percentage }}% ({{ cls.count }})

Scale Features?

Reduce Features?

Column Assignments

Categorical Columns (Auto-OneHotEncoded)

Hold Ctrl/Cmd to select multiple.

Ignore Columns

Select Models

Choose algorithms and tuning effort

error_outline Missing Dependencies

The {{ isCV ? 'Computer Vision' : 'NLP' }} module is not fully installed in your current environment.
Please open your terminal, stop the server, and run:
pip install "easy-ml-studio[{{ isCV ? 'cv' : 'nlp' }}]"

XGBoost, LightGBM and CatBoost are available with {{ installHint('boost') }}

Training Config

Epochs

Learning Rate

Early Stopping Patience

Stop training if no improvement for N epochs.

ReduceLR Patience

Reduce LR if no improvement for N epochs.

ReduceLR Factor

Multiply LR by this factor (e.g. 0.5 = halve it).

🔧 Custom CNN Builder

Add layers to build your architecture. The model always starts with the image input and ends with a Linear layer for your classes.

{{ layer.type }}

✅ Valid Architecture!

❌ Invalid Architecture: {{ cnnValidation.error }}

{{ cnnValidation.summary }}

Hyperparameter Tuning (GridSearch)

Training Pipeline

{{ Math.round(trainingProgress) }}%

📈 Live Training Curves

Training Results

Performance metrics for your models

🔗 Pipeline Summary

📂

Dataset

{{ trainingResult.pipeline_summary.dataset.rows }} rows × {{ trainingResult.pipeline_summary.dataset.cols }} cols

→

🧹

Preprocessing

Impute · Scale · PCA · Augment

→

⚖️

Resampling

{{ trainingResult.pipeline_summary.imbalance_handling.toUpperCase() }}

→

✂️

Split

→

🤖

Models

{{ (trainingResult.pipeline_summary.models_trained || []).length }} trained

Train {{ scoreName }}

Test {{ scoreName }}

🎯 Best Hyperparameters

actual ↓ / predicted →	{{ lbl }}
{{ classLabels(perf)[ri] }}	{{ cell }}

Class	Precision	Recall	F1
{{ clsK }}	{{ cls.precision?.toFixed(3) }}	{{ cls.recall?.toFixed(3) }}	{{ cls['f1-score']?.toFixed(3) }}

Live Inference

Make predictions with Run #{{ inference.run_id }} · {{ taskLabel(inferenceRunType) }}

Select Model

Upload Image for Inference

Input Text

Enter feature values for prediction:

Upload a CSV containing the same features to get a bulk prediction file.

Selected: {{ inference.batch_file.name }}

Prediction {{ inferenceResult.prediction }}

Confidence {{ (inferenceResult.probability * 100).toFixed(1) }}%

Feature Impact (SHAP Waterfall)

Run History

Manage previous training runs

ID

Name

Task

Dataset

Models

Best Acc

Date

Actions

No runs found in database.

Welcome to Easy-ML

Tabular Classification

Tabular Regression

NLP Text Classification

Image Classification

settings Settings

📂 Data Storage

⚡ GPU / CUDA

🗑️ Clear Data

About Easy-ML

👥 Developers

Upload Dataset

Select Image Dataset Folder

Column Configuration

Run Details

Data Preview

Pipeline Configuration

Text Cleaning

Imbalanced Data Handling

Feature Extraction

Image Preprocessing

Data Transforms

Column Assignments

Select Models

{{ modelLabel(m) }}

Training Config

🔧 Custom CNN Builder

Hyperparameter Tuning (GridSearch)

Training Pipeline

📈 Live Training Curves

Training Results

🔗 Pipeline Summary

{{ modelLabel(modelName) }}

Live Inference

Feature Impact (SHAP Waterfall)

Run History

{{ modelLabel(modelName) }}

Welcome to Easy-ML

Tabular Classification

Tabular Regression

NLP Text Classification

Image Classification

settings Settings

📂 Data Storage

⚡ GPU / CUDA

🗑️ Clear Data

About Easy-ML

👥 Developers

Upload Dataset

Select Image Dataset Folder

Column Configuration

Run Details

Data Preview

Pipeline Configuration

Text Cleaning

Imbalanced Data Handling

Feature Extraction

Image Preprocessing

Data Transforms

Column Assignments

Select Models

{{ modelLabel(m) }}

Training Config

🔧 Custom CNN Builder

Hyperparameter Tuning (GridSearch)

Training Pipeline

📈 Live Training Curves

Training Results

🔗 Pipeline Summary

{{ modelLabel(modelName) }}

Live Inference

Feature Impact (SHAP Waterfall)

Run History

{{ modelLabel(modelName) }}

Select Server Folder