
LLMMM - Your LMM Marketing Monitor
From brand name to full analysis in seconds—instant visibility into your AI presence. Focus on key metrics and competitor analysis for actionable brand insights across the AI landscape. Leverage multiple AI perspectives to gain deeper understanding of your brand's digital presence and competitive position.
GitHub - google/lightweight_mmm: LightweightMMM is a …
LMMM is a python library that helps organisations understand and optimise marketing spend across media channels. This is not an official Google product. Docs • Introduction • Theory • Getting Started • References • Community Spotlight.
Mākslas muzeji
2025年3月7日 · Latvijas Nacionālā mākslas muzeja galvenās ēkas pastāvīgā ekspozīcija parāda muzeja krājuma bagātību un savdabību, kā arī nacionālās mākslas izcilākos sasniegumus gadsimtu griezumā. Pirmais pasaules karš latviešu tautai atnesa smagus pārbaudījumus, kuri māksliniekos uzjundīja spēcīgu nacionālās pašapziņas vilni. Latviešu modernisti Krievijā 20. gs.
Releases · google/lightweight_mmm - GitHub
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information. - Releases · google/lightweight_mmm.
lightweight_mmm/examples/simple_end_to_end_demo.ipynb at main - GitHub
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information. - google/lightweight_mmm
LightweightMMM — LightweightMMM documentation - Read the …
Lightweight Media Mix Modelling wrapper for bayesian models. It also offers the necessary utilities for calculating media contribution and media ROI based on models’ results. Sampling trace of the bayesian model once fitted. Dict [str, jax.Array] Number of …
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lightweight-mmm - PyPI
2023年5月23日 · LMMM is a python library that helps organisations understand and optimise marketing spend across media channels. This is not an official Google product. Docs • Introduction • Theory • Getting Started • References • Community Spotlight.
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LNMMM : Function for the Clustering Algorithm - R Package …
2024年1月29日 · LNMMM( data, run, Gmax, initial = "kmeans", runtime = TRUE, threshold, verb, maxiter = NA, nrep = NA, niter = NA, sim = FALSE ) Arguments