Junchao
Thanks for your reply! I will try it in the next step. 1. "Do you need to retrain the model?" Yes, I want to retrain the model using a much...
BTW, I did use the spark-submit config like below, it should be the newest version. ``` --repositories=https://mmlspark.azureedge.net/maven \ --packages com.microsoft.ml.spark:mmlspark_2.11:1.0.0-rc1 \ ```
@imatiach-msft Hi, for the hack parameters, I tried ``` objective='huber, bin_construct_sample_cnt=200000, min_gain_to_split=0, min_child_weight=0.001, min_data_in_leaf=20, tree_learner=data, num_threads=0', ``` but got errors like min_data_in_leaf should be int, but got "20," And I...
@imatiach-msft I'm deep diving the root cause, currently guess it was caused by the training data set is sparse with random splitting.
@imatiach-msft Hi, I still not find the root cause of the diffs between to training ways. The model task is to select cdn smartly in specific conditions. Here is the...
@imatiach-msft Thank you very much for your effort! ❤ Now I can try using them to do the test in a new round. My next target should be to compare...
I came across the same exception when featureFraction is Integer, but should not the root cause for this case. Maybe be some float parameter not allow pass Integer in?
``` def SIN(S): return np.sin(S) #求S的正弦值（弧度) def COS(S): return np.cos(S) #求S的余弦值（弧度) def TAN(S): return np.tan(S) #求S的正切值（弧度) def ASIN(S): return np.arcsin(S) #求S的反正弦值 [-1, 1] def ACOS(S): return np.arccos(S) #求S的反余弦值 [-1, 1]...
``` def CEILINE(S): return np.ceil(S) #求S的向上取整 def FLOOR(S): return np.floor(S) #求S的向下取整 ```