ALS cold start user/item prediction strategy | 3 sec | Passed |
ALS should not introduce unnecessary shuffle | 0.67 sec | Passed |
CheckedCast | 0.46 sec | Passed |
CholeskySolver | 1 ms | Passed |
LocalIndexEncoder | 3 ms | Passed |
RatingBlockBuilder | 2 ms | Passed |
SPARK-18268: ALS with empty RDD should fail with better message | 23 ms | Passed |
UncompressedInBlock | 19 ms | Passed |
als partitioner is a projection | 3 ms | Passed |
als with large number of iterations | 7.1 sec | Passed |
approximate rank-1 matrix | 4.2 sec | Passed |
approximate rank-2 matrix | 4.3 sec | Passed |
case insensitive cold start param value | 6.6 sec | Passed |
different block settings | 7.9 sec | Passed |
exact rank-1 matrix | 4.9 sec | Passed |
implicit feedback | 2.2 sec | Passed |
implicit feedback regression | 3.2 sec | Passed |
input type validation | 46 sec | Passed |
more blocks than ratings | 2 sec | Passed |
nonnegative constraint | 0.81 sec | Passed |
normal equation construction | 2 ms | Passed |
partitioner in returned factors | 0.44 sec | Passed |
read/write | 1.7 sec | Passed |
recommendForAllItems with k <, = and > num_users | 2 sec | Passed |
recommendForAllUsers with k <, = and > num_items | 2.6 sec | Passed |
recommendForItemSubset with k <, = and > num_users | 2.1 sec | Passed |
recommendForUserSubset with k <, = and > num_items | 2.3 sec | Passed |
subset recommendations eliminate duplicate ids, returns same results as unique ids | 2.1 sec | Passed |
subset recommendations on full input dataset equivalent to recommendForAll | 1.5 sec | Passed |
using generic ID types | 1.7 sec | Passed |