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Tuesday, 27 December Ya-Saburu-Wazaif. Most forbearing. Anyone who says this beautiful name of Allah times before sunrise will be given protection against all calamities for the remainder of the day and his enemies will not utter a single unpleasant word against him. For any difficulty whatsoever, say this beautiful name of Allah 1, times. Relief will soon be found and peace and contentment will be experienced in the heart, Insha-Allah.

One who loves virtue or guides to virtue. One who does not have the know-how about a particular task or is unable to work out plans regarding a certain task should say this name of Allah 1, between Magrib and Isha. The plan and scheme will soon become clear to him either in the dream or by way of inspiration.

For financial progress and safety against any mishaps it should be read daily. The Inheriter or who remains alive after all else is destroyed. Repeat this name of Allah times at sunrise. Protection will be given against sorrow, grief, hardship, and calamities. Read 1, times between Magrib and Isha to be safeguarded against perplexities. The Everlasting. Protection will be given against calamities and virtuous deeds will be accepted if this name of Allah is repeated 1, times on the eve of Jumu'ah.

The Deviser. Reciting 1, times: Yaa Badi' as samaawaati wal ardh O deviser, creator of the heavens and the earth will relieve a person from miseries and sorrow and he will die as a believer, Insha-Allah. Reciting it between Maghrib and Isha is most effective for the same purpose. If a particular venture is to be undertaken and one is uncertain as regards its feasibility then this name of Allah should be said excessively before going to bed, Insha-Allah, guidance will be received either by way of inspiration or dream.

Insha-Allah, Before the passing of 12 days, the pursuit will be realized. One who gives guidance. Anyone who raises both hands as in dua and gazes towards the sky and recites this name of Allah several times Allah Ta'ala will give guidance to him and associate him with the pious and devout. The Light. If recited 1, times after reciting surah noor, the reciter's heart will be illuminated with noor.

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Enjoy a 30-day premium unlimited free trial, with all the features and no credit card required. Our most popular download - everything you need to know if you are new to e-signatures.Overall, this didn't detract from our enjoyment, though.

The standard of transport was excellent, from the limousines that collected us from the airport, to the cabin on the ferry from Denmark to Norway, to the trains.

The rail journey form Stockholm was particularly lovely - comfortable, fast and quiet trains, gorgeous scenery, and we crossed The Bridge, too. The time spent in each city was just long enough to absorb the essential elements that made each one special, and it was really interesting to be able to compare their similarities and differences.

The holiday felt much longer than nine days. We had a great holiday in Iceland with the whole itinerary organised by Nordic Visitor including all the hotels and the hire car. Thanks to the great organisational skills of the company everything went according to plan. We were picked up at the airport and taken to our hotel and given a bag of books and maps with our route and intinerary. The following day we were taken to collect our hire car and then we had a wonderful 10 days touring the south of the island.

Even before we arrived in Iceland we were most impressed with the services of Nordic Visitor. They tailor-made our trip to suit what we wanted to do, always responding promptly to our questions and a toll free number to phone meant we were also able to speak to them beforehand.

I cannot praise them too highly and would certainly use them again as well as recommend them to anybody. Booked a 10 day self drive tour of Iceland via Nordic Visitor. Nordic Visitor arranged our complete itinery, arranged a hire car, booked hotels, mapped our route, arranged a pick up from the airport.

The hotels were great, travel connections were flawless and the provided map and instructions were accurate and easily followed. All in all the holiday of a lifetime, without any worries This was the first time I booked a vacation with a tour company I found by internet research and not from a friend or trusted source. If you are on Trip Advisor as I was reading the reviews before booking - believe the glowing remarks - Nordic Visitor is terrific.

It was a pleasure hearing her stories of Icelandic culture and history.

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The hotels were pleasant - not luxurious but I wasn't expecting luxury on this trip. Each hotel had its own unique qualities.

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The food throughout the trip was superb. I am a research addict, which is why I love this site. But I was getting overwhelmed with all of our options for places to stay and what we should do. So after researching travel agents, we booked with Nordic Visitor. I am so glad that we did. All of our transportation was covered and there, and we just showed up to the hotels and it was all set.

They listened to what we wanted (eg: farm guest houses instead of hotels).Importance is the amount by which each field in the model reduces prediction error, normalized to be between zero and one. Default strategy followed by the model when it finds a missing value.

At prediction time you can opt for using proportional. A dictionary with an entry per field used by the model (not all the fields that were available in the dataset). They follow the same structure as the fields attribute above except that the summary is not present. A Node Object, a tree-like recursive structure representing the model.

Method of choosing best attribute and split point for a given node. For classification models, a number between 0 and 1 that expresses how certain the model is of the prediction. See the Section on Confidence for more details. Note that for models you might have created using the first versions of BigML this value might be null. An Objective Summary Object summarizes the objective field's distribution at this node.

If the objective field is numeric and the number of distinct values is greater than 32. If the objective field is categorical, an array of pairs where the first element of each pair is one of the unique categories and the second element is the count for that category.

If the objective field is numeric and the number of distinct values is less than or equal to 32, an array of pairs where the first element of each pair is one of the unique values found in the field and the second element is the count. A status code that reflects the status of the model creation.

Example: "000005" boosting optional Gradient boosting options for the ensemble. Required to created an ensemble with boosted trees. Example: 128 description optional A description of the ensemble up to 8192 characters long. Example: flase name optional The name you want to give to the new ensemble. Example: "000003" ordering optional Specifies the type of ordering followed to build the models of the ensemble. Example: 16 tags optional A list of strings that help classify and retrieve the ensemble.

If no significant improvement is made on the holdout, boosting will stop early. This value should be between 0 (inclusive) and 1 (exclusive). Example: false iterations optional The maximum number of boosting iterations to be performed.

For regression problems, one boosted tree will be generated for every iteration. For classification problems, however, N trees will be generated for every iteration, where N is the number of classes.

This value should be between 0 (exclusive) and 1 (exclusive). This will be 201 upon successful creation of the ensemble and 200 afterwards. Make sure that you check the code that comes with the status attribute to make sure that the ensemble creation has been completed without errors. This is the date and time in which the ensemble was created with microsecond precision.

True when the ensemble has been created in the development mode.

Unordered list of distributions for each model in the ensemble. Each distribution is an Object with a entry for the distribution of instances in the training set and the distribution of predictions in the model. See a model distribution field for more details. The list of fields's ids that were excluded to build the models of the ensemble.