java.lang.IllegalArgumentException: No NAs in the column, nothing to do.

JIRA | Kevin Normoyle | 2 years ago
  1. 0

    I think I'm doing the right thing. works okay with impute on Numeric cols with NAs the info from summary shows C51 has NAs and is enum, but my impute fails here's what I'm doing 2014-10-07 17:32:53.672296 -- Start http://172.16.2.222:54321/2/Exec2.json?str=c.hex = covtype.hex 2014-10-07 17:32:54.374471 -- Start http://172.16.2.222:54321/2/InsertMissingValues.json?missing_fraction=0.1&seed=4759220785699177164&key=c.hex 2014-10-07 17:32:55.041725 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=55 2014-10-07 17:32:55.116552 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=54 2014-10-07 17:32:55.149104 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=53 2014-10-07 17:32:55.177553 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=52 2014-10-07 17:32:55.206363 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=51 2014-10-07 17:32:55.233480 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=50 2014-10-07 17:32:55.259075 -- Start http://172.16.2.222:54321/2/Inspect2.json?src_key=c.hex 2014-10-07 17:32:55.594410 -- Start http://172.16.2.222:54321/2/SummaryPage2.json?source=c.hex&max_ncols=1000 2014-10-07 17:32:56.423234 -- Start http://172.16.2.222:54321/2/Impute.json?column=40&source=c.hex&method=mean 2014-10-07 17:32:56.550331 -- Start http://172.16.2.222:54321/2/Impute.json?column=50&source=c.hex&method=mode *********************** colname: C36 coltype: None nacnt: 58063 stattype: Numeric mean: 0.0572885692486 sd: 0.232393399982 zeros: 492990 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [492990, 29959] ************************ colname: C37 coltype: None nacnt: 58055 stattype: Numeric mean: 0.0994250005259 sd: 0.299232085537 zeros: 470962 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [470962, 51995] ************************ colname: C38 coltype: None nacnt: 58040 stattype: Numeric mean: 0.036527768217 sd: 0.187599460717 zeros: 503869 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [503869, 19103] ************************ colname: C39 coltype: None nacnt: 58156 stattype: Numeric mean: 0.000820493596707 sd: 0.0286325331561 zeros: 522427 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522427, 429] ************************ colname: C40 coltype: None nacnt: 57815 stattype: Numeric mean: 0.00441134027909 sd: 0.0662713267587 zeros: 520889 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [520889, 2308] ************************ colname: C41 coltype: None nacnt: 58012 stattype: Numeric mean: 0.00187571701721 sd: 0.0432689528717 zeros: 522019 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522019, 981] ************************ colname: C42 coltype: None nacnt: 58019 stattype: Numeric mean: 0.0016405573306 sd: 0.0404705946826 zeros: 522135 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522135, 858] ************************ colname: C43 coltype: None nacnt: 58047 stattype: Numeric mean: 0.198384213093 sd: 0.398783426408 zeros: 419217 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [419217, 103748] ************************ colname: C44 coltype: None nacnt: 58283 stattype: Numeric mean: 0.0519351327361 sd: 0.221896302173 zeros: 495581 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [495581, 27148] ************************ colname: C45 coltype: None nacnt: 58067 stattype: Numeric mean: 0.0441423094207 sd: 0.205411408215 zeros: 499861 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [499861, 23084] ************************ colname: C46 coltype: None nacnt: 58170 stattype: Numeric mean: 0.0903752950222 sd: 0.286718953514 zeros: 475590 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [475590, 47252] ************************ colname: C47 coltype: None nacnt: 58083 stattype: Numeric mean: 0.0776262169434 sd: 0.26758274292 zeros: 482336 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [482336, 40593] ************************ colname: C48 coltype: None nacnt: 57967 stattype: Numeric mean: 0.00276649236681 sd: 0.0525247004882 zeros: 521598 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [521598, 1447] ************************ colname: C49 coltype: None nacnt: 58110 stattype: Numeric mean: 0.00327021124417 sd: 0.0570922341139 zeros: 521192 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [521192, 1710] ************************ colname: C50 coltype: None nacnt: 58001 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522905, 106] ************************ colname: C51 coltype: None nacnt: 58101 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522637, 274] ************************ colname: C52 coltype: None nacnt: 58068 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [508939, 14005] ************************ colname: C53 coltype: None nacnt: 58080 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [510533, 12399] ************************ colname: C54 coltype: None nacnt: 57968 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [515165, 7879] ************************ colname: C55 coltype: None nacnt: 58075 stattype: Enum cardinality: 7 hstart: 0.0 hstep: 1.0 hbrk: [u'1', u'2', u'3', u'4', u'5', u'6', u'7'] hcnt: [190682, 255059, 32138, 2463, 8503, 15656, 18436] trial 0 expectedMissing: 58101.2 Now get rid of all the missing values, but imputing means. We know all columns should have NAs from above Do the columns in random order impute parameters: {'column': 40, 'source': 'c.hex', 'group_by': None, 'method': 'mean'} impute parameters: {'column': 50, 'source': 'c.hex', 'group_by': None, 'method': 'mode'} rjson: { "error": "No NAs in the column, nothing to do.", "response": { "h2o": "pytest-kevin-11322", "node": "/172.16.2.222:54321", "status": "error", "time": 2 } } rjson error in impute: No NAs in the column, nothing to do. ERROR 17:32:56.563 # Session ERRR WATER: + java.lang.IllegalArgumentException: No NAs in the column, nothing to do. + at water.api.Impute.init(Impute.java:56) + at water.api.Impute.serve(Impute.java:68) + at water.api.Request.serveGrid(Request.java:165) + at water.Request2.superServeGrid(Request2.java:481) + at water.Request2.serveGrid(Request2.java:402) + at water.api.Request.serve(Request.java:142) + at water.api.RequestServer.serve(RequestServer.java:506) + at water.NanoHTTPD$HTTPSession.run(NanoHTTPD.java:425) + at java.lang.Thread.run(Thread.java:745) ERROR

    JIRA | 2 years ago | Kevin Normoyle
    java.lang.IllegalArgumentException: No NAs in the column, nothing to do.
  2. 0

    I think I'm doing the right thing. works okay with impute on Numeric cols with NAs the info from summary shows C51 has NAs and is enum, but my impute fails here's what I'm doing 2014-10-07 17:32:53.672296 -- Start http://172.16.2.222:54321/2/Exec2.json?str=c.hex = covtype.hex 2014-10-07 17:32:54.374471 -- Start http://172.16.2.222:54321/2/InsertMissingValues.json?missing_fraction=0.1&seed=4759220785699177164&key=c.hex 2014-10-07 17:32:55.041725 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=55 2014-10-07 17:32:55.116552 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=54 2014-10-07 17:32:55.149104 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=53 2014-10-07 17:32:55.177553 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=52 2014-10-07 17:32:55.206363 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=51 2014-10-07 17:32:55.233480 -- Start http://172.16.2.222:54321/2/ToEnum2.json?src_key=c.hex&column_index=50 2014-10-07 17:32:55.259075 -- Start http://172.16.2.222:54321/2/Inspect2.json?src_key=c.hex 2014-10-07 17:32:55.594410 -- Start http://172.16.2.222:54321/2/SummaryPage2.json?source=c.hex&max_ncols=1000 2014-10-07 17:32:56.423234 -- Start http://172.16.2.222:54321/2/Impute.json?column=40&source=c.hex&method=mean 2014-10-07 17:32:56.550331 -- Start http://172.16.2.222:54321/2/Impute.json?column=50&source=c.hex&method=mode *********************** colname: C36 coltype: None nacnt: 58063 stattype: Numeric mean: 0.0572885692486 sd: 0.232393399982 zeros: 492990 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [492990, 29959] ************************ colname: C37 coltype: None nacnt: 58055 stattype: Numeric mean: 0.0994250005259 sd: 0.299232085537 zeros: 470962 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [470962, 51995] ************************ colname: C38 coltype: None nacnt: 58040 stattype: Numeric mean: 0.036527768217 sd: 0.187599460717 zeros: 503869 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [503869, 19103] ************************ colname: C39 coltype: None nacnt: 58156 stattype: Numeric mean: 0.000820493596707 sd: 0.0286325331561 zeros: 522427 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522427, 429] ************************ colname: C40 coltype: None nacnt: 57815 stattype: Numeric mean: 0.00441134027909 sd: 0.0662713267587 zeros: 520889 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [520889, 2308] ************************ colname: C41 coltype: None nacnt: 58012 stattype: Numeric mean: 0.00187571701721 sd: 0.0432689528717 zeros: 522019 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522019, 981] ************************ colname: C42 coltype: None nacnt: 58019 stattype: Numeric mean: 0.0016405573306 sd: 0.0404705946826 zeros: 522135 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522135, 858] ************************ colname: C43 coltype: None nacnt: 58047 stattype: Numeric mean: 0.198384213093 sd: 0.398783426408 zeros: 419217 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [419217, 103748] ************************ colname: C44 coltype: None nacnt: 58283 stattype: Numeric mean: 0.0519351327361 sd: 0.221896302173 zeros: 495581 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [495581, 27148] ************************ colname: C45 coltype: None nacnt: 58067 stattype: Numeric mean: 0.0441423094207 sd: 0.205411408215 zeros: 499861 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [499861, 23084] ************************ colname: C46 coltype: None nacnt: 58170 stattype: Numeric mean: 0.0903752950222 sd: 0.286718953514 zeros: 475590 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [475590, 47252] ************************ colname: C47 coltype: None nacnt: 58083 stattype: Numeric mean: 0.0776262169434 sd: 0.26758274292 zeros: 482336 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [482336, 40593] ************************ colname: C48 coltype: None nacnt: 57967 stattype: Numeric mean: 0.00276649236681 sd: 0.0525247004882 zeros: 521598 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [521598, 1447] ************************ colname: C49 coltype: None nacnt: 58110 stattype: Numeric mean: 0.00327021124417 sd: 0.0570922341139 zeros: 521192 mins: [0.0, 1.0] maxs: [1.0, 0.0] pct: [0.001, 0.01, 0.1, 0.25, 0.33, 0.5, 0.66, 0.75, 0.9, 0.99, 0.999] pctile: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0] hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [521192, 1710] ************************ colname: C50 coltype: None nacnt: 58001 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522905, 106] ************************ colname: C51 coltype: None nacnt: 58101 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [522637, 274] ************************ colname: C52 coltype: None nacnt: 58068 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [508939, 14005] ************************ colname: C53 coltype: None nacnt: 58080 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [510533, 12399] ************************ colname: C54 coltype: None nacnt: 57968 stattype: Enum cardinality: 2 hstart: 0.0 hstep: 1.0 hbrk: [u'0', u'1'] hcnt: [515165, 7879] ************************ colname: C55 coltype: None nacnt: 58075 stattype: Enum cardinality: 7 hstart: 0.0 hstep: 1.0 hbrk: [u'1', u'2', u'3', u'4', u'5', u'6', u'7'] hcnt: [190682, 255059, 32138, 2463, 8503, 15656, 18436] trial 0 expectedMissing: 58101.2 Now get rid of all the missing values, but imputing means. We know all columns should have NAs from above Do the columns in random order impute parameters: {'column': 40, 'source': 'c.hex', 'group_by': None, 'method': 'mean'} impute parameters: {'column': 50, 'source': 'c.hex', 'group_by': None, 'method': 'mode'} rjson: { "error": "No NAs in the column, nothing to do.", "response": { "h2o": "pytest-kevin-11322", "node": "/172.16.2.222:54321", "status": "error", "time": 2 } } rjson error in impute: No NAs in the column, nothing to do. ERROR 17:32:56.563 # Session ERRR WATER: + java.lang.IllegalArgumentException: No NAs in the column, nothing to do. + at water.api.Impute.init(Impute.java:56) + at water.api.Impute.serve(Impute.java:68) + at water.api.Request.serveGrid(Request.java:165) + at water.Request2.superServeGrid(Request2.java:481) + at water.Request2.serveGrid(Request2.java:402) + at water.api.Request.serve(Request.java:142) + at water.api.RequestServer.serve(RequestServer.java:506) + at water.NanoHTTPD$HTTPSession.run(NanoHTTPD.java:425) + at java.lang.Thread.run(Thread.java:745) ERROR

    JIRA | 2 years ago | Kevin Normoyle
    java.lang.IllegalArgumentException: No NAs in the column, nothing to do.
  3. 0

    Error starting spark context - no output operations registered, so nothing to execute

    Stack Overflow | 8 months ago | Mez
    java.lang.IllegalArgumentException: requirement failed: No output operations registered, so nothing to execute
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  5. 0

    Spark Streaming MYsql

    Stack Overflow | 4 months ago | Fenil Tailor
    java.lang.IllegalArgumentException: requirement failed: No output operations registered, so nothing to execute
  6. 0

    streaming.StreamingContext: Error starting the context, marking it as stopped [Spark Streaming]

    Stack Overflow | 6 months ago | Vipul Rajan
    java.lang.IllegalArgumentException: requirement failed: No output operations registered, so nothing to execute

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    Root Cause Analysis

    1. java.lang.IllegalArgumentException

      No NAs in the column, nothing to do.

      at water.api.Impute.init()
    2. water.api
      Request.serveGrid
      1. water.api.Impute.init(Impute.java:56)
      2. water.api.Impute.serve(Impute.java:68)
      3. water.api.Request.serveGrid(Request.java:165)
      3 frames
    3. water
      Request2.serveGrid
      1. water.Request2.superServeGrid(Request2.java:481)
      2. water.Request2.serveGrid(Request2.java:402)
      2 frames
    4. water.api
      RequestServer.serve
      1. water.api.Request.serve(Request.java:142)
      2. water.api.RequestServer.serve(RequestServer.java:506)
      2 frames
    5. water
      NanoHTTPD$HTTPSession.run
      1. water.NanoHTTPD$HTTPSession.run(NanoHTTPD.java:425)
      1 frame
    6. Java RT
      Thread.run
      1. java.lang.Thread.run(Thread.java:745)
      1 frame