HaiLong LIU

A question of dimension of encoded_seq

1

Hi, @abhaikollara and @farizrahman4u I fund the output of encoded is `encoded_seq = dense2(encoded_seq)`, where 'dense2 = Dense(output_dim)'. In my opinion，the dimension of encoded_seq maybe is hidden_dim. For example, when...

[Question] What is the difference between probabilities output from result.get_probabilities() and result.get_total_causal_effects()?

6

Hi, I am a beginner. I'm not quite sure the difference between probabilities output from result.get_probabilities() and result.get_total_causal_effects() after bootstrap, i.e., result = model.bootstrap(data, n_sampling=1000). I would appreciate it if...

Question: a priori power analysis for LiNGAM

2

Dear all Are there any recommended a priori power analysis methods for LiNGAM to estimate the required sample size before conducting a study? I found that some a priori power...

Question: a priori power analysis for LiNGAM

1

Dear all Are there any recommended a priori power analysis methods for LiNGAM to estimate the required sample size before conducting a study? I found that some a priori power...