Index

_ | A | B | C | D | E | F | G | I | K | L | M | N | O | P | Q | R | S | T | U | W

_

__init__() (coremltools.models.MLModel method)

A

B

band_part (class in coremltools.converters.mil.mil.ops.defs.tensor_operation)

batch_norm (class in coremltools.converters.mil.mil.ops.defs.normalization)

C

cast (class in coremltools.converters.mil.mil.ops.defs.elementwise_unary)
ceil (class in coremltools.converters.mil.mil.ops.defs.elementwise_unary)
clamped_relu (class in coremltools.converters.mil.mil.ops.defs.activation)
clip (class in coremltools.converters.mil.mil.ops.defs.elementwise_unary)
compare_models() (in module coremltools.models.neural_network.quantization_utils)
concat (class in coremltools.converters.mil.mil.ops.defs.tensor_operation)
cond (class in coremltools.converters.mil.mil.ops.defs.control_flow)
const (class in coremltools.converters.mil.mil.ops.defs.control_flow)
conv (class in coremltools.converters.mil.mil.ops.defs.conv)
conv_transpose (class in coremltools.converters.mil.mil.ops.defs.conv)
convert() (in module coremltools.converters)
- (in module coremltools.converters.caffe)
- (in module coremltools.converters.libsvm)
- (in module coremltools.converters.sklearn)
- (in module coremltools.converters.xgboost)
convert_double_to_float_multiarray_type() (in module coremltools.models.utils)
coremltools.converters.mil.mil.ops.defs.activation
- module
coremltools.converters.mil.mil.ops.defs.control_flow
- module
coremltools.converters.mil.mil.ops.defs.conv
- module
coremltools.converters.mil.mil.ops.defs.elementwise_binary
- module
coremltools.converters.mil.mil.ops.defs.elementwise_unary
- module
coremltools.converters.mil.mil.ops.defs.image_resizing
- module
coremltools.converters.mil.mil.ops.defs.linear
- module
coremltools.converters.mil.mil.ops.defs.normalization
- module
coremltools.converters.mil.mil.ops.defs.pool
- module

coremltools.converters.mil.mil.ops.defs.random
- module
coremltools.converters.mil.mil.ops.defs.recurrent
- module
coremltools.converters.mil.mil.ops.defs.reduction
- module
coremltools.converters.mil.mil.ops.defs.scatter_gather
- module
coremltools.converters.mil.mil.ops.defs.tensor_operation
- module
coremltools.converters.mil.mil.ops.defs.tensor_transformation
- module
coremltools.models
- module
coremltools.models.nearest_neighbors
- module
coremltools.models.neural_network
- module
coremltools.models.neural_network.flexible_shape_utils
- module
coremltools.models.neural_network.quantization_utils
- module
coremltools.models.neural_network.update_optimizer_utils
- module
coremltools.models.pipeline
- module
coremltools.models.tree_ensemble
- module
coremltools.models.utils
- module
cos (class in coremltools.converters.mil.mil.ops.defs.elementwise_unary)
cosh (class in coremltools.converters.mil.mil.ops.defs.elementwise_unary)
crop (class in coremltools.converters.mil.mil.ops.defs.image_resizing)
crop_resize (class in coremltools.converters.mil.mil.ops.defs.image_resizing)
cumsum (class in coremltools.converters.mil.mil.ops.defs.tensor_operation)

D

do_quantize() (coremltools.models.neural_network.quantization_utils.AdvancedQuantizedLayerSelector method)
- (coremltools.models.neural_network.quantization_utils.MatrixMultiplyLayerSelector method)

E

F

G

I

K

KNearestNeighborsClassifierBuilder (class in coremltools.models.nearest_neighbors)

L

M

mul (class in coremltools.converters.mil.mil.ops.defs.elementwise_binary)

N

O

one_hot (class in coremltools.converters.mil.mil.ops.defs.tensor_operation)

OutputMetric (class in coremltools.models.neural_network.quantization_utils)

P

Q

quantize_weights() (in module coremltools.models.neural_network.quantization_utils)

QuantizedLayerSelector (class in coremltools.models.neural_network.quantization_utils)

R

S

T

U

W

weighting_scheme() (coremltools.models.nearest_neighbors.KNearestNeighborsClassifierBuilder property)

while_loop (class in coremltools.converters.mil.mil.ops.defs.control_flow)