RobGeada

kind: Deployment
apiVersion: apps/v1
metadata:
  annotations:
    deployment.kubernetes.io/revision: '2'
  resourceVersion: '152956090'
  name: trustyai-service
  uid: 9c074c66-b21b-4727-b92e-b686bc17b838
  creationTimestamp: '2023-11-07T12:11:09Z'
  generation: 2

RobGeada

apiVersion: serving.kserve.io/v1beta1
kind: InferenceService
metadata:
  name: yolo-model
  annotations:
    serving.kserve.io/deploymentMode: ModelMesh
spec:
  predictor:
    model:
      modelFormat:

RobGeada

apiVersion: v1
kind: Service
metadata:
  name: minio
spec:
  ports:
    - name: minio-client-port
      port: 9000
      protocol: TCP
      targetPort: 9000

RobGeada

{"learner":{"attributes":{"best_iteration":"99","best_ntree_limit":"100","scikit_learn":"{\"n_estimators\": 100, \"objective\": \"reg:squarederror\", \"max_depth\": null, \"max_leaves\": null, \"max_bin\": null, \"grow_policy\": null, \"learning_rate\": null, \"verbosity\": null, \"booster\": null, \"tree_method\": null, \"gamma\": null, \"min_child_weight\": null, \"max_delta_step\": null, \"subsample\": null, \"sampling_method\": null, \"colsample_bytree\": null, \"colsample_bylevel\": null, \"colsample_bynode\": null, \"reg_alpha\": null, \"reg_lambda\": null, \"scale_pos_weight\": null, \"base_score\": null, \"missing\": NaN, \"num_parallel_tree\": null, \"random_state\": 42, \"n_jobs\": null, \"monotone_constraints\": null, \"interaction_constraints\": null, \"importance_type\": null, \"gpu_id\": null, \"validate_parameters\": null, \"predictor\": null, \"enable_categorical\": false, \"feature_types\": null, \"max_cat_to_onehot\": null, \"max_cat_threshold\": null, \"eval_metric\": null, \"early_stopping

RobGeada

{"inputs": [{"name": "images", "shape": [1, 3, 640, 640], "datatype": "FP32", "data": [[[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 101, 101, 102, 101, 105, 107, 103, 102, 103, 103, 106, 110, 109, 113, 112, 110, 109, 109, 115, 117, 118, 124, 127, 125, 127, 112, 109, 117, 112, 113, 110, 112, 114, 113, 110, 112, 111, 110, 110, 108, 113, 112, 107, 98, 100, 101, 103, 103, 111, 116, 112, 112, 118, 120, 116, 113, 117, 116, 114, 114, 119, 115, 116, 112, 112, 116, 114, 112, 114, 110, 106, 109, 110, 111, 113, 113, 112, 113, 114, 116, 129, 120, 123, 122, 113, 114, 121, 119, 122, 122, 126, 117, 111, 97, 103, 112, 114, 112, 106, 104, 103, 112, 117, 122, 122, 124, 126, 132, 135, 139, 144, 151, 160, 161, 156, 156, 153, 140, 123, 110, 107, 99, 98, 99, 1

RobGeada

import os
import json
import numpy as np
from PIL import Image

def expand2square(pil_img, background_color):
    width, height = pil_img.size
    if width == height:
        return pil_img
    elif width > height:

RobGeada

apiVersion: kfdef.apps.kubeflow.org/v1
kind: KfDef
metadata:
  name: trustyai-service-operator
spec:
  applications:
    - kustomizeConfig:
        repoRef:
          name: manifests
          path: config

RobGeada

import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
plt.style.use('https://raw.githubusercontent.com/RobGeada/stylelibs/main/material_tex.mplstyle')
mpl.rcParams["text.usetex"] = "false"
import numpy as np

def draw_board():
    colors = np.zeros([8,8]) 
    colors[::2,::2] = 1

RobGeada

import drools_integrators.DroolsWrapper;
import drools_integrators.Explainers;
import org.apache.commons.math3.analysis.function.Exp;
import org.junit.Test;
import org.kie.api.KieServices;
import org.kie.api.runtime.KieContainer;
import org.kie.trustyai.explainability.model.Feature;
import org.kie.trustyai.explainability.model.FeatureFactory;
import org.kie.trustyai.explainability.model.Output;
import org.kie.trustyai.explainability.model.PredictionInput;

RobGeada

import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl

mpl.rcParams.update({
    "axes.facecolor": "DDDDDD",
    "axes.edgecolor": "white",
    "axes.grid": True,
    "axes.axisbelow": True,
    "legend.facecolor": "ffffff",