Customize .fit()

Dataset

dist = effector.datasets.IndependentUniform(dim=3, low=-1, high=1)
X_test = dist.generate_data(n=200)
axis_limits = dist.axis_limits

Black-box model and Jacobian

model = effector.models.DoubleConditionalInteraction()
predict = model.predict
jacobian = model.jacobian

Global Effect

RHALE

Simple APIFlexible API

rhale = effector.RHALE(X_test, predict, jacobian, axis_limits=axis_limits, nof_instances="all")
rhale.plot(feature=0, y_limits=y_limits, dy_limits=dy_limits)

rhale = effector.RHALE(X_test, predict, jacobian, axis_limits=axis_limits, nof_instances="all")
rhale.fit(features=0, binning_method=effector.axis_partitioning.Fixed(nof_bins=5))
rhale.plot(feature=0, y_limits=y_limits, dy_limits=dy_limits)

Regional Effect

RHALE

init()

Simple APIFlexible API

r_rhale = effector.RegionalRHALE(X_test, predict, jacobian, axis_limits=axis_limits, nof_instances="all")
r_rhale.summary(0)

rhale = effector.RHALE(X_test, predict, jacobian, axis_limits=axis_limits, nof_instances="all")
rhale.fit(features=0, binning_method=effector.axis_partitioning.Fixed(nof_bins=5))
rhale.plot(feature=0, y_limits=y_limits, dy_limits=dy_limits)

.summary() output

Simple APIFlexible API

Feature 0 - Full partition tree:
Node id: 0, name: x_0, heter: 60.47 || nof_instances:   200 || weight: 1.00
        Node id: 1, name: x_0 | x_2 <= 0.0, heter: 2.36 || nof_instances:   105 || weight: 0.53
                Node id: 3, name: x_0 | x_2 <= 0.0 and x_1 <= 0.0, heter: 0.06 || nof_instances:    45 || weight: 0.23
                Node id: 4, name: x_0 | x_2 <= 0.0 and x_1  > 0.0, heter: 0.00 || nof_instances:    60 || weight: 0.30
        Node id: 2, name: x_0 | x_2  > 0.0, heter: 70.28 || nof_instances:    95 || weight: 0.47
                Node id: 5, name: x_0 | x_2  > 0.0 and x_1 <= 0.0, heter: 0.00 || nof_instances:    45 || weight: 0.23
                Node id: 6, name: x_0 | x_2  > 0.0 and x_1  > 0.0, heter: 8.08 || nof_instances:    50 || weight: 0.25
--------------------------------------------------
Feature 0 - Statistics per tree level:
Level 0, heter: 60.47
        Level 1, heter: 34.62 || heter drop : 25.85 (units), 42.75% (pcg)
                Level 2, heter: 2.03 || heter drop : 32.59 (units), 94.12% (pcg)

Feature 0 - Full partition tree:
Node id: 0, name: x_0, heter: 53.64 || nof_instances:   200 || weight: 1.00
        Node id: 1, name: x_0 | x_2 <= 0.0, heter: 2.42 || nof_instances:   105 || weight: 0.53
        Node id: 2, name: x_0 | x_2  > 0.0, heter: 61.95 || nof_instances:    95 || weight: 0.47
--------------------------------------------------
Feature 0 - Statistics per tree level:
Level 0, heter: 53.64
        Level 1, heter: 30.70 || heter drop : 22.94 (units), 42.77% (pcg)

.plot() all

Simple APIFlexible API

node_idx=1: \(x_1\) when \(x_2 \leq 0\)	node_idx=2: \(x_1\) when \(x_2 > 0\)
node_idx=1: \(x_1\) when \(x_2 \leq 0\)	node_idx=2: \(x_1\) when \(x_2 > 0\)
:---------:	:---------:

rhale.plot(feature=0, node_idx=1, y_limits=y_limits, dy_limits=dy_limits)
rhale.plot(feature=0, node_idx=2, y_limits=y_limits, dy_limits=dy_limits)

node_idx=1: \(x_1\) when \(x_2 \leq 0\)	node_idx=2: \(x_1\) when \(x_2 > 0\)