Merge pull request #68 from Hestia-Homes/sap-dev-fix

add smape
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quandanrepo 2023-10-10 23:41:56 +01:00 committed by GitHub
commit 0601e837ad
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3 changed files with 41 additions and 7 deletions

View file

@ -42,7 +42,14 @@ jobs:
if [ -z "${latest_version}" ]; then
increment_version="1.0.0"
else
increment_version=$(echo ${latest_version} | awk -F'.' '{OFS="."; $1+=1; print}')
increment_version=$(echo ${latest_version} | awk 'BEGIN {
FS="\\." # Set the field separator to a period
OFS="." # Set the output field separator to a period
}
{
major = $1 + 1 # Increment the major version
print major, "0", "0" # Print the new version
}')
fi
new_tag=${REGISTER_MODEL_NAME}@v${increment_version}
@ -80,7 +87,14 @@ jobs:
if [ -z "${latest_version}" ]; then
increment_version="0.1.0"
else
increment_version=$(echo ${latest_version} | awk 'BEGIN{FS=OFS="."} {$2++; print}')
increment_version=$(echo ${latest_version} | awk 'BEGIN {
FS="\\." # Set the field separator to a period
OFS="." # Set the output field separator to a period
}
{
minor = $2 + 1 # Increment the minor version
print $1, minor, "0" # Print the new version
}')
fi
new_tag=${REGISTER_MODEL_NAME}@v${increment_version}
@ -118,7 +132,14 @@ jobs:
if [ -z "${latest_version}" ]; then
increment_version="0.0.1"
else
increment_version=$(echo ${latest_version} | awk 'BEGIN{FS=OFS="."} {$3++; print}')
increment_version=$(echo ${latest_version} | awk 'BEGIN {
FS="\\." # Set the field separator to a period
OFS="." # Set the output field separator to a period
}
{
patch = $3 + 1 # Increment the patch version
print $1, $2, patch # Print the new version
}')
fi
new_tag=${REGISTER_MODEL_NAME}@v${increment_version}

View file

@ -10,9 +10,9 @@ tracking and a model registry
- A bolt-on service that can implement model monitoring
There are multiple protected branches which adapt the generic pipeline to produce different models:
- sap_change-**
- heat_change-**
- carbon_change-**
- sap-{dev/staging/prod}-**
- heat-{dev/staging/prod}-**
- carbon-{dev/staging/prod}-**
These branches will differ by the configuration files that define the data used and the outputs of the ML-pipeline
- There can be different additional logic for each branch but the pipeline will be the same.

View file

@ -4,6 +4,7 @@ Implementation of MLMetrics, all of which will have two methods:
- Generate Plot Suite
"""
import numpy as np
import pandas as pd
from typing import Union
from sklearn.metrics import (
@ -14,6 +15,18 @@ from sklearn.metrics import (
)
from core.interface.InterfaceMetrics import MLMetrics
# Define the function to return the SMAPE value
def symmetric_mape(actual, predicted) -> float:
# Convert actual and predicted to numpy
# array data type if not already
if not all([isinstance(actual, np.ndarray), isinstance(predicted, np.ndarray)]):
actual, predicted = np.array(actual), np.array(predicted)
return np.mean(
np.abs(predicted - actual) / ((np.abs(predicted) + np.abs(actual)) / 2)
)
def metrics_factory(metrics_type: str) -> MLMetrics:
metrics = {
@ -34,7 +47,7 @@ class RegressionMetrics:
median_absolute_error,
mean_squared_error,
mean_absolute_percentage_error,
# max_error
symmetric_mape,
]
def generate_metrics(