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copybara-service merged 1 commit into from
Jan 9, 2026
+26 −1
Merged

add some new engine constants #1394

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27 changes: 26 additions & 1 deletion meridian/model/eda/constants.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,8 @@
"""Constants specific to MeridianEDA."""
from typing import Literal
import altair as alt
import immutabledict
from meridian import constants
import numpy as np

##### EDA Engine constants #####
Expand Down Expand Up @@ -56,6 +58,15 @@
range=['#1f78b4', '#f7f7f7', '#e34a33'], # Blue-light grey-Orange
type='linear',
)
CHANNEL_TYPE_TO_COLOR = immutabledict.immutabledict({
constants.MEDIA_CHANNEL: '#4285F4',
constants.ORGANIC_MEDIA_CHANNEL: '#F29900',
constants.RF_CHANNEL: '#EA4335',
constants.ORGANIC_RF_CHANNEL: '#FBBC04',
constants.CONTROL_VARIABLE: '#34A853',
constants.NON_MEDIA_CHANNEL: '#12939A',
})


##### Report constants #####
REPORT_TITLE = 'Meridian Exploratory Data Analysis Report'
Expand All @@ -67,10 +78,15 @@
# category 1
SPEND_AND_MEDIA_UNIT_CARD_ID = 'spend-and-media-unit'
SPEND_AND_MEDIA_UNIT_CARD_TITLE = 'Spend and Media Unit'
RELATIVE_SPEND_SHARE_CHART_ID = 'relative-spend-share-chart'
# category 2
RESPONSE_VARIABLES_CARD_ID = 'response-variables'
RESPONSE_VARIABLES_CARD_TITLE = 'Individual Explanatory/Response Variables'
TREATMENTS_CHART_ID = 'treatments-chart'
CONTROLS_AND_NON_MEDIA_CHART_ID = 'controls-and-non-media-chart'
# category 4
RELATIONSHIP_BETWEEN_VARIABLES_CARD_ID = 'relationship-among-variables'
RELATIONSHIP_BETWEEN_VARIABLES_CARD_TITLE = 'Relationship Among the Variables'
RELATIVE_SPEND_SHARE_CHART_ID = 'relative-spend-share-chart'
PAIRWISE_CORRELATION_CHART_ID = 'pairwise-correlation-chart'
EXTREME_VIF_ERROR_TABLE_ID = 'extreme-vif-error-table'
EXTREME_VIF_ATTENTION_TABLE_ID = 'extreme-vif-attention-table'
Expand All @@ -79,6 +95,15 @@


##### Finding messages #####
VARIABILITY_PLOT_INFO = (
'Please review the variability of the explanatory and response variables'
' illustrated by the boxplots. Note that variables with very low'
' variability could be difficult to estimate and could hurt model'
' convergence. Consider merging or replacing them with other variables,'
' dropping them if they are negligibly small, or using a custom prior if'
' you have relevant information. If outliers exist, check your data input'
' to determine if they are genuine or erroneous.'
)
RELATIVE_SPEND_SHARE_INFO = (
"Please review the channel's share of spend. Channels with a very small"
' share of spend might be difficult to estimate. You might want to combine'
Expand Down
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