Weighting samples in multiclass image segmentation using keras
来源： https://stackoverflow.com/questions/60253082/weighting-samples-in-multiclass-image-segmentation-using-keras
weighting
Weighting samples in multiclass image segmentation using keras
来源： https://stackoverflow.com/questions/60253082/weighting-samples-in-multiclass-image-segmentation-using-keras
Sharepoint Search Property Weighting
问题 I'm using the code listed here: http://msdn.microsoft.com/en-us/library/ms553069.aspx With an additional line added as a call to .update() after the property is set in order to save the changes, but even with a weight of 10,000 the search results for my property are still at the bottom, particularly below title. Is there some other things that need to be done in order to get the weighting to propogate? I've also tried setting the title, author, and filename to 0, setting the property
Sharepoint Search Property Weighting
问题 I'm using the code listed here: http://msdn.microsoft.com/en-us/library/ms553069.aspx With an additional line added as a call to .update() after the property is set in order to save the changes, but even with a weight of 10,000 the search results for my property are still at the bottom, particularly below title. Is there some other things that need to be done in order to get the weighting to propogate? I've also tried setting the title, author, and filename to 0, setting the property
Weighting k Means Clustering by number of observations
问题 I would like to cluster some data using k Means in R that looks as follows. ADP NS CNTR PP2V EML PP1V ADDPS FB PP1D ADR ISV PP2D ADSEM SUMALL CONV 2 0 0 1 0 0 0 0 0 12 0 12 0 53 0 2 0 0 1 0 0 0 0 0 14 0 25 0 53 0 2 0 0 1 0 0 0 0 0 15 0 0 0 53 0 2 0 0 1 0 0 0 0 0 15 0 4 0 53 0 2 0 0 1 0 0 0 0 0 17 0 0 0 53 0 2 0 0 1 0 0 0 0 0 18 0 0 0 106 0 2 0 0 1 0 0 0 0 0 23 0 10 0 53 0 2 0 0 1 0 0 1 0 0 0 0 1 0 106 0 2 0 0 1 0 0 3 0 0 0 0 0 0 53 0 2 0 0 2 0 0 0 0 0 0 0 0 0 3922 0 2 0 0 2 0 0 0 0 0 0 0 1 0
How can I generate marginal effects for a logit model when using survey weights?
问题 I normally generate logit model marginal effects using the mfx package and the logitmfx function. However, the current survey I am using has weights (which have a large effect on the proportion of the DV in the sample because of oversampling in some populations) and logitmfx doesn't appear to have any way to include weights. I have fitted the model with svyglm as follows: library(survey) survey.design <- svydesign(ids = combined.survey$id, weights = combined.survey$weight, data = combined
Sharepoint Search Property Weighting
I'm using the code listed here: http://msdn.microsoft.com/en-us/library/ms553069.aspx With an additional line added as a call to .update() after the property is set in order to save the changes, but even with a weight of 10,000 the search results for my property are still at the bottom, particularly below title. Is there some other things that need to be done in order to get the weighting to propogate? I've also tried setting the title, author, and filename to 0, setting the property (keywords) to 9999, and setting length normalization of the property to 0. The results shift a bit, but
How can I generate marginal effects for a logit model when using survey weights?
I normally generate logit model marginal effects using the mfx package and the logitmfx function. However, the current survey I am using has weights (which have a large effect on the proportion of the DV in the sample because of oversampling in some populations) and logitmfx doesn't appear to have any way to include weights. I have fitted the model with svyglm as follows: library(survey) survey.design <- svydesign(ids = combined.survey$id, weights = combined.survey$weight, data = combined.survey) vote.pred.1 <- svyglm(formula = turnout ~ gender + age.group + education + income, design = survey