1
Models
▶
1.1
Introduction
1.2
Understanding BigML Models
1.3
Creating Models with 1-Click
1.4
Model Configuration Options
1.5
Visualizing BigML Models
1.6
Model Summary Report
1.7
BigML Model Predictions
1.8
Consuming Models
1.9
Model Limits
1.10
Descriptive Information
1.11
Models Privacy
1.12
Models in the BigML Gallery
1.13
Moving Models to another Project
1.14
Stopping Model Creation
1.15
Deleting Models
1.16
Takeaways
2
Ensembles
▶
2.1
Introduction
2.2
Understanding Ensembles
2.3
Creating Ensembles with 1-Click
2.4
Ensemble Configuration Options
2.5
Visualizing Ensembles
2.6
BigML Ensemble Predictions
2.7
Consuming Ensembles
2.8
Ensemble Limits
2.9
Descriptive Information
2.10
Ensemble Privacy
2.11
Moving Ensembles to another Project
2.12
Stopping Ensemble Creation
2.13
Deleting Ensembles
2.14
Takeaways
3
Linear Regressions
▶
3.1
Introduction
3.2
Understanding Linear Regressions
3.3
Creating Linear Regressions with 1-click
3.4
Linear Regression Configuration Options
3.5
Visualizing Linear Regressions
3.6
linear Regression Predictions
3.7
Consuming Linear Regressions
3.8
Linear Regression Limits
3.9
Descriptive Information
3.10
Linear Regression Privacy
3.11
Moving Linear Regressions to Another Project
3.12
Stopping Linear Regressions
3.13
Deleting Linear Regressions
3.14
Takeaways
4
Logistic Regressions
▼
4.1
Introduction
4.2
Understanding Logistic Regressions
4.3
Creating Logistic Regressions with 1-click
4.4
Logistic Regression Configuration Options
4.5
Visualizing Logistic Regressions
4.6
Logistic Regression Predictions
4.7
Consuming Logistic Regressions
4.8
Logistic Regression Limits
4.9
Descriptive Information
4.10
Logistic Regression Privacy
4.11
Moving Logistic Regressions to Another Project
4.12
Stopping Logistic Regressions
4.13
Deleting Logistic Regressions
4.14
Takeaways
5
Deepnets
▶
5.1
Introduction
5.2
Understanding Deepnets
5.3
Creating Deepnets with 1-click
5.4
Deepnet Configuration Options
5.5
Visualizing Deepnets
5.6
Deepnet Predictions
5.7
Consuming Deepnet
5.8
Deepnet Limits
5.9
Descriptive Information
5.10
Deepnet Privacy
5.11
Moving Deepnets to Another Project
5.12
Stopping Deepnets
5.13
Deleting Deepnets
5.14
Takeaways
6
Fusions
▶
6.1
Introduction
6.2
Understanding Fusions
6.3
Creating Fusions
6.4
Fusion Configuration Options
6.5
Visualizing Fusions
6.6
Fusion Predictions
6.7
Consuming Fusions
6.8
Fusion Limits
6.9
Descriptive Information
6.10
Fusion Privacy
6.11
Moving Fusions to Another Project
6.12
Stopping Fusions
6.13
Deleting Fusions
6.14
Takeaways
7
Evaluations
▶
7.1
Introduction
7.2
Understanding Evaluations
7.3
Creating Evaluations
7.4
Evaluation Configuration Options
7.5
Visualizing Evaluations
7.6
Evaluation Comparison
7.7
Consuming Evaluations
7.8
Evaluation Limits
7.9
Descriptive Information
7.10
Evaluation Privacy
7.11
Moving Evaluations to Another Project
7.12
Stopping Evaluation Creation
7.13
Deleting Evaluation
7.14
Takeaways
Bibliography
Glossary
Classification and Regression with the BigML Dashboard
4 Logistic Regressions
4.1
Introduction
4.2
Understanding Logistic Regressions
4.3
Creating Logistic Regressions with 1-click
4.4
Logistic Regression Configuration Options
4.5
Visualizing Logistic Regressions
4.6
Logistic Regression Predictions
4.7
Consuming Logistic Regressions
4.8
Logistic Regression Limits
4.9
Descriptive Information
4.10
Logistic Regression Privacy
4.11
Moving Logistic Regressions to Another Project
4.12
Stopping Logistic Regressions
4.13
Deleting Logistic Regressions
4.14
Takeaways
Takeaways
Introduction
