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spellbook
The spellbook Library
Source Code Reference
Python
spellbook.input
spellbook.inspect
spellbook.plot
spellbook.plot1D
spellbook.plot2D
spellbook.plotutils
spellbook.stat
spellbook.train
Tools and Technologies
AWS
Conda, Mamba & Pip
Docker
GCP
Git
GitHub
Jupyter
MkDocs
pandas
Python
Logging
Rich
Sphinx
TensorFlow
Saving and Loading Models
virtualenv & venv
Visual Studio Code
Projects & Tutorials
Table of Contents
Binary Classification: Stroke Prediction
Data Exploration and Cleaning
Data Preparation and Input Pipeline
Model Training and Validation
Decision Forests in TensorFlow
Serving
TensorFlow
Models in
Docker
TensorFlow Serving
with
Docker
on
AWS
Extras
Links & Literature
Glossary
Index
ToDo List
repository
open issue
Index
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
_
__iadd__() (spellbook.train.ROCPlot method)
__init__() (spellbook.inspect.PermutationImportance method)
(spellbook.train.BinaryCalibrationPlot method)
(spellbook.train.ModelSavingCallback method)
(spellbook.train.ROCPlot method)
A
add_curve() (spellbook.train.ROCPlot method)
AUC
ax_calibrations (spellbook.train.BinaryCalibrationPlot attribute)
ax_predictions (spellbook.train.BinaryCalibrationPlot attribute)
B
barchart() (in module spellbook.plot1D)
baseline (spellbook.inspect.PermutationImportance attribute)
batch
bias
binary classification
BinaryCalibrationPlot (class in spellbook.train)
boxplot() (in module spellbook.plot1D)
C
calculate_splits() (in module spellbook.input)
calibration
categorical_histogram() (in module spellbook.plot2D)
categorybox() (in module spellbook.plotutils)
CL
CNN
confidence level
D
data augmentation
describe() (in module spellbook.stat)
describe_text() (in module spellbook.stat)
draw_WP() (spellbook.train.ROCPlot method)
dropout
E
EBS
EC2
ECR
encode_categories() (in module spellbook.input)
F
fig (spellbook.train.BinaryCalibrationPlot attribute)
FN
FP
FPR
G
get_binary_labels() (in module spellbook.train)
get_data_kind() (in module spellbook.plotutils)
get_legend_labels() (spellbook.train.ROCPlot method)
get_legend_lines() (spellbook.train.ROCPlot method)
get_WP() (spellbook.train.ROCPlot method)
grid (spellbook.train.BinaryCalibrationPlot attribute)
H
heatmap() (in module spellbook.plot2D)
heatmap_set_annotations_fontsize() (in module spellbook.plot2D)
histogram() (in module spellbook.plot1D)
hyperparameter
hyperparameter optimisation
hyperparameter tuning
I
IAM
image augmentation
imbalanced data
K
KMS
L
L1 regularisation
L2 regularisation
lasso regularisation
legend_bbox_to_anchor() (in module spellbook.plotutils)
legend_loc() (in module spellbook.plotutils)
M
model parameter
ModelSavingCallback (class in spellbook.train)
module
spellbook.input
spellbook.inspect
spellbook.plot
spellbook.plot1D
spellbook.plot2D
spellbook.plotutils
spellbook.stat
spellbook.train
multi-class classification
N
not_yet_implemented() (in module spellbook.plotutils)
O
on_epoch_end() (spellbook.train.ModelSavingCallback method)
on_train_end() (spellbook.train.ModelSavingCallback method)
overfitting
oversample() (in module spellbook.input)
oversampling
overtraining
P
pairplot() (in module spellbook.plot)
parallel_coordinates() (in module spellbook.plot)
PermutationImportance (class in spellbook.inspect)
pickle_load() (spellbook.train.ROCPlot class method)
pickle_save() (spellbook.train.ROCPlot method)
plot() (spellbook.inspect.PermutationImportance method)
(spellbook.train.ROCPlot method)
plot_1D() (in module spellbook.plot)
plot_2D() (in module spellbook.plot)
plot_confusion_matrix() (in module spellbook.plot)
plot_grid_1D() (in module spellbook.plot)
plot_grid_2D() (in module spellbook.plot)
plot_history() (in module spellbook.train)
plot_history_binary() (in module spellbook.train)
power
precision
print_data_kinds() (in module spellbook.plotutils)
R
recall
remove_curve() (spellbook.train.ROCPlot method)
rename_curve() (spellbook.train.ROCPlot method)
results (spellbook.inspect.PermutationImportance attribute)
ridge regularisation
ROC
ROCPlot (class in spellbook.train)
S
sample
save() (in module spellbook.plot)
scatterplot() (in module spellbook.plot2D)
score
sensitivity
separate_tfdataset_to_tftensors() (in module spellbook.input)
sigmoid
softmax
specificity
spellbook.input
module
spellbook.inspect
module
spellbook.plot
module
spellbook.plot1D
module
spellbook.plot2D
module
spellbook.plotutils
module
spellbook.stat
module
spellbook.train
module
split_pddataframe_to_nparrays() (in module spellbook.input)
split_pddataframe_to_pddataframes() (in module spellbook.input)
split_pddataframe_to_tfdatasets() (in module spellbook.input)
statsbox() (in module spellbook.plotutils)
T
testing
tfdf (spellbook.inspect.PermutationImportance attribute)
TN
TP
TPR
type-1 error
type-2 error
U
underfitting
undertraining
V
valuebox_text() (in module spellbook.plotutils)
variance
violinplot() (in module spellbook.plot2D)
VPC