Correct, with the fix I was able to get the model working. tim-mcwilliams reviewed Oct 22, 2024 View reviewed changes pymc_marketing/mmm/MultiDimensionalMMM.py Outdated "Normal", sigma=Prior("HalfNormal", sigma=2), dims=self.dims ), "gamma_control": Prior("Normal", mu=0, sigma...
"""What happens in the MMM logic.""" @@ -297,3 +297,17 @@ def test_change_instance_function_priors_has_no_impact( "a": {"dist": "HalfNormal", "kwargs": {"sigma": 1}}, "b": {"dist": "HalfNormal", "kwargs": {"sigma": 1}}, } def test_change_instance_function_prior...
To address those problems, we propose a multi-source multi-net method for micro-video recommendation. Beside user–item interactions, we leverage heterogeneous information sources for better item profiling and integrate the latent representations of the multiple sources into a unified recommender framework...
he of the “early retirement through badassity” slogan. In fact, a few NW Edible readers have even told me that, once they started reading MMM, their outlook on finances, hope, freedom and even their future totally changed for the better. ...
对本组织进行评估 (用于项目管理)。 在公平的基础上,对本组织与其他组织的成熟度进行比较。 将本组织成熟度与组织成熟度基准进行比较。 发现自己的优势与弱势。 制定规划提高项目执行能力。 10项关键项目管理流程(项目成熟度基准的10个衡量领域): 管理组织。
# Fit the model idata = mmm.fit(X, y) We can also define custom priors for the model: .. code-block:: python my_model_config = { "beta_channel": { "dist": "LogNormal", "kwargs": {"mu": np.array([2, 1]), "sigma": 1}, }, "likelihood": { "dist": "Normal", "kwar...
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