Skip to content

Replaces OnnxSubOperator by OnnxSubEstimator #3

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
sdpython merged 2 commits into from
Mar 31, 2021
Merged

Replaces OnnxSubOperator by OnnxSubEstimator #3

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
6511bc2
Replace OnnxSubOperator by OnnxSubEstimator
sdpython Mar 31, 2021
a135916
Update plot_pextend_python_runtime.py
sdpython Mar 31, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions examples/plot_kcustom_converter_wrapper.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@
from sklearn.decomposition import PCA
from skl2onnx import update_registered_converter
from skl2onnx.algebra.onnx_ops import OnnxIdentity
from skl2onnx.algebra.onnx_operator import OnnxSubOperator
from skl2onnx.algebra.onnx_operator import OnnxSubEstimator
from skl2onnx import to_onnx


Expand Down Expand Up @@ -146,7 +146,7 @@ def decorrelate_transformer_converter(scope, operator, container):

# We tell in ONNX language how to compute the unique output.
# op_version=opv tells which opset is requested
subop = OnnxSubOperator(op.pca_, X, op_version=opv)
subop = OnnxSubEstimator(op.pca_, X, op_version=opv)
Y = OnnxIdentity(subop, op_version=opv, output_names=out[:1])
Y.add_to(scope, container)

Expand Down
2 changes: 1 addition & 1 deletion examples/plot_pextend_python_runtime.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -165,7 +165,7 @@ class OnnxEig(OnnxOperator):
"""

since_version = 1 # last changed in this version
expected_inputs = ['X'] # imput names
expected_inputs = [('X', 'T')] # (imput names, type), T means any type
expected_outputs = ['EigenValues', 'EigenVectors'] # output names
input_range = [1, 1] # only one input is allowed
output_range = [1, 2] # 1 or 2 outputs are produced
Expand Down