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SivananthamandGitHub
a869657f25
* Fix python linter Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Format e2e tests Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Format hack, docs Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Add py-fmt target Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Update python lint workflow Signed-off-by: Sivanantham Chinnaiyan <[email protected]> * Rebase master Signed-off-by: Sivanantham Chinnaiyan <[email protected]> --------- Signed-off-by: Sivanantham Chinnaiyan <[email protected]>
100 lines
2.6 KiB
Python
100 lines
2.6 KiB
Python
import numpy as np
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import requests
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import pandas as pd
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import plotly.graph_objects as go
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from IPython.display import Markdown, display
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def getFeatures(X, cmap):
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return pd.DataFrame(X).replace(cmap).values.squeeze().tolist()
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def predict(X, name, ds, svc_hostname, cluster_ip):
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formData = {"instances": X}
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headers = {"Host": svc_hostname}
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res = requests.post(
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"http://" + cluster_ip + "/v1/models/" + name + ":predict",
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json=formData,
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headers=headers,
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)
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if res.status_code == 200:
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return ds.target_names[np.array(res.json()["predictions"])[0]]
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else:
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print("Failed with ", res.status_code)
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return []
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def explain(X, name, svc_hostname, cluster_ip):
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formData = {"instances": X}
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headers = {"Host": svc_hostname}
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res = requests.post(
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"http://" + cluster_ip + "/v1/models/" + name + ":explain",
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json=formData,
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headers=headers,
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)
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if res.status_code == 200:
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return res.json()
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else:
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print("Failed with ", res.status_code)
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return []
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def show_bar(X, labels, title):
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fig = go.Figure(go.Bar(x=X, y=labels, orientation="h", width=[0.5]))
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fig.update_layout(
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autosize=False,
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width=700,
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height=300,
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xaxis=dict(range=[0, 1]),
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title_text=title,
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font=dict(family="Courier New, monospace", size=18, color="#7f7f7f"),
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)
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fig.show()
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def show_feature_coverage(exp):
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data = []
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for idx, name in enumerate(exp["anchor"]):
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data.append(go.Bar(name=name, x=["coverage"], y=[exp["raw"]["coverage"][idx]]))
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fig = go.Figure(data=data)
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fig.update_layout(yaxis=dict(range=[0, 1]))
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fig.show()
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def show_anchors(names):
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display(Markdown("# Explanation:"))
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display(Markdown("## {}".format(names)))
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def show_examples(exp, fidx, ds, covered=True):
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if covered:
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cname = "covered_true"
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display(
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Markdown(
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"## Examples covered by Anchors: {}".format(exp["anchor"][0 : fidx + 1])
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)
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)
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else:
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cname = "covered_false"
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display(
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Markdown(
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"## Examples not covered by Anchors: {}".format(
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exp["anchor"][0 : fidx + 1]
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)
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)
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)
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if "feature_names" in ds:
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return pd.DataFrame(
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exp["raw"]["examples"][fidx][cname], columns=ds.feature_names
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)
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else:
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return pd.DataFrame(exp["raw"]["examples"][fidx][cname])
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def show_prediction(prediction):
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display(Markdown("## Prediction: {}".format(prediction)))
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def show_row(X, ds):
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display(pd.DataFrame(X, columns=ds.feature_names))
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